UAI 2022 - Program

A downloadable PDF version of the program is available here. The online components of the conference can be accessed here.

UAI 2022 is a hybrid conference, meaning that all talks can be followed in-person in Eindhoven and also online. Posters are presented in a mixed manner: in physical poster sessions, in virtual poster sessions, or both.

All physical sessions of the main conference take place in the Auditorium Building (see campus map). The tutorials and workshops are in Rooms 4 - 6, and the main conference is in the "Blauwe Zaal".

The online components of the conference take place in Zoom Events. Please note that this requires you to log in, using the same email address that you used for your UAI 2022 registration. From within Zoom Events, you can access the online talks and also get to the virtual poster sessions in gather.town.

You can access the detailed schedule of each day using the following links:

Please note that all dates and times are UTC+2 (Central European Time).

Information about virtual poster sessions is available here.

(Return to overview)

4 AUG

4 Aug - 09:00-10:00 - Keynote: Zeynep Akata

4 Aug - 10:00-10:30 - Coffee break

4 Aug - 10:30-12:15 - Oral session 5: Bayesian Methods

637 Resolving label uncertainty with implicit posterior models - Esther Rolf ; Nikolay Malkin ; Alexandros Graikos ; Ana Jojic ; Caleb Robinson ; Nebojsa Jojic (presented in person)

Discussant: Nikoo Dehghani (TU Eindhoven)

446 Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces - Samuel Daulton ; David Eriksson ; Maximilian Balandat ; Eytan Bakshy (presented in person)

Discussant: Jinwoo Go (Georgia Institute of Technology)

602 Robust Expected Information Gain for Optimal Bayesian Experimental Design Using Ambiguity Sets - Jinwoo Go ; Tobin Isaac (presented in person)

Discussant: Shujian Yu (UiT - The Arctic University of Norway)

112 Laplace Approximated Gaussian Process State-Space Models - Jakob Lindinger ; Barbara Rakitsch ; Christoph Lippert (presented in person)

Discussant: Martin Jørgensen (University of Oxford)

270 Variational multiple shooting for Bayesian ODEs with Gaussian processes - Pashupati Rajaram Hegde ; Cagatay Yildiz ; Harri Lahdesmaki ; Samuel Kaski ; Markus Heinonen (presented in person)

Discussant: Jakob Lindinger (SICK AG)

277 PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners - Anthony Sicilia ; Katherine Atwell ; Malihe Alikhani ; Seong Jae Hwang (presented in person)

Discussant: Tongliang Liu (University of Sydney)

594 Bayesian Spillover Graphs for Dynamic Networks - Grace Deng ; David S. Matteson (presented remotely)

Discussant: Oisín Ryan (Utrecht University)

4 Aug - 12:15-12:30 - Spotlight session 7 (presented remotely)

500 Combating the Instability of Mutual Information-based Losses via Regularization - Kwanghee Choi ; Siyeong Lee
580 Bias Aware Probabilistic Boolean Matrix Facortization - Changlin Wan ; Pengtao Dang ; Tong Zhao ; Yong Zang ; Chi Zhang ; Sha Cao
22 Probabilistic Surrogate Networks for Simulators with Unbounded Randomness - Andreas Munk ; Berend Zwartsenberg ; Adam Scibior ; Atilim Gunes Baydin ; Andrew Lawrence Stewart ; Goran Fernlund ; Anoush Poursartip ; Frank Wood
47 Physics Guided Neural Networks for Spatio-temporal Super-resolution of Turbulent Flows - Tianshu Bao ; Shengyu Chen ; Taylor T Johnson ; Peyman Givi ; Shervin Sammak ; Xiaowei Jia
56 Evaluating High-Order Predictive Distributions in Deep Learning - Ian Osband ; Zheng Wen ; Seyed Mohammad Asghari ; Vikranth Dwaracherla ; Xiuyuan Lu ; Benjamin Van Roy
187 ResIST: Layer-Wise Decomposition of ResNets for Distributed Training - Chen Dun ; Cameron R. Wolfe ; Chris Jermaine ; Anastasios Kyrillidis
219 AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows - Difeng Cai ; Yuliang Ji ; Huan He ; Qiang Ye ; Yuanzhe Xi
286 Path Flow: A Normalizing Flow Generator that Finds Transition Paths - Tianyi Liu ; Weihao Gao ; Zhirui Wang ; Chong Wang
437 CoSPA: An Improved Masked Language Model for Chinese Spelling Correction - Shoujian Yang ; Lian Yu
357 Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits - Subhojyoti Mukherjee
729 Contrastive Latent Variable Models for Neural Text Generation - Zhiyang Teng ; Chenhua Chen ; Yan Zhang ; Yue Zhang
587 Identifying near-optimal decisions in linear-in-parameter bandit models with continuous decision sets - Sanjay P. Bhat ; Chaitanya Amballa

4 Aug - 12:30-14:00 - Lunch (on your own)

4 Aug - 14:00-15:00 - Virtual poster session I

11 Mitigating Statistical Bias within Differentially Private Synthetic Data - Sahra Ghalebikesabi ; Harrison Wilde ; Jack Jewson ; Arnaud Doucet ; Sebastian Josef Vollmer ; Christopher C. Holmes
12 Robust Bayesian Recourse - Tuan-Duy Hien Nguyen ; Ngoc Bui ; Duy Nguyen ; Man-Chung Yue ; Viet Anh Nguyen
14 CIGMO: Categorical invariant representations in a deep generative framework - Haruo Hosoya
22 Probabilistic Surrogate Networks for Simulators with Unbounded Randomness - Andreas Munk ; Berend Zwartsenberg ; Adam Scibior ; Atilim Gunes Baydin ; Andrew Lawrence Stewart ; Goran Fernlund ; Anoush Poursartip ; Frank Wood
37 Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes - Jungtaek Kim ; Seungjin Choi ; Minsu Cho
45 Cyclic Test Time Augmentation with Entropy Weight Method - Sewhan Chun ; Jae Young Lee ; Junmo Kim
47 Physics Guided Neural Networks for Spatio-temporal Super-resolution of Turbulent Flows - Tianshu Bao ; Shengyu Chen ; Taylor T Johnson ; Peyman Givi ; Shervin Sammak ; Xiaowei Jia
48 Convergence Analysis of Linear Coupling with Inexact Proximity Operator - Qiang Zhou ; Sinno Pan
53 On the Inductive Bias of Neural Networks for Learning Read-once DNFs - Ido Bronstein ; Alon Brutzkus ; Amir Globerson
56 Evaluating High-Order Predictive Distributions in Deep Learning - Ian Osband ; Zheng Wen ; Seyed Mohammad Asghari ; Vikranth Dwaracherla ; Xiuyuan Lu ; Benjamin Van Roy
61 Feature Selection for Discovering Distributional Treatment Effect Modifiers - Yoichi Chikahara ; Makoto Yamada ; Hisashi Kashima
70 Meta-Learning without Data via Wasserstein Distributionally-Robust Model Fusion - Zhenyi Wang ; Xiaoyang Wang ; Li Shen ; Qiuling Suo ; Kaiqiang Song ; Dong Yu ; Yan Shen ; Mingchen Gao
103 PDQ-Net: Deep Probabilistic Dual Quaternion Network for Absolute Pose Regression on $SE(3)$ - Wen Jie Li ; Wasif Naeem ; Jia Liu ; Dequan Zheng ; Wei Hao ; lijun Chen
106 Shifted Compression Framework: Generalizations and Improvements - Egor Shulgin ; Peter Richtárik
113 Byzantine-Tolerant Distributed Multiclass Sparse Linear Discriminant Analysis - Yajie Bao ; Weidong Liu ; Xiaojun Mao ; Weijia Xiong
123 Modeling Extremes with $d$-max-decreasing Neural Networks - Ali Hasan ; Khalil Elkhalil ; Yuting Ng ; Joao M. Pereira ; Sina Farsiu ; Jose Blanchet ; Vahid Tarokh
124 Simplified and Unified Analysis of Various Learning Problems by Reduction to Multiple-Instance Learning - Daiki Suehiro ; Eiji Takimoto
132 Fine-Grained Matching with Multi-Perspective Similarity Modeling for Cross-Modal Retrieval - Xiumin Xie ; Chuanwen Hou ; Zhixin Li
141 Data Dependent Randomized Smoothing - Motasem Alfarra ; Adel Bibi ; Philip Torr ; Bernard Ghanem
165 A Competitive Analysis of Online Failure-Aware Assignment - Mengjing Chen ; Pingzhong Tang ; Zihe Wang ; Shenke Xiao ; Xiwang Yang
186 Fixing the Bethe Approximation: How Structural Modifications in a Graph Improve Belief Propagation - Harald Leisenberger ; Franz Pernkopf ; Christian Knoll
187 ResIST: Layer-Wise Decomposition of ResNets for Distributed Training - Chen Dun ; Cameron R. Wolfe ; Chris Jermaine ; Anastasios Kyrillidis
193 Variational- and Metric-based Deep Latent Space for Out-of-Distribution Detection - Or Dinari ; Oren Freifeld
205 Cycle Class Consistency with Distributional Optimal Transport and Knowledge Distillation for Unsupervised Domain Adaptation - Tuan Nguyen ; Van Nguyen ; Trung Le ; He Zhao ; Quan Hung Tran ; Dinh Phung
217 Asymptotic Optimality for Active Learning Processes - Xueying Zhan ; Yaowei Wang ; Antoni B. Chan
219 AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows - Difeng Cai ; Yuliang Ji ; Huan He ; Qiang Ye ; Yuanzhe Xi
222 Accelerating Training of Batch Normalization: A Manifold Perspective - Mingyang Yi
223 Deep Dirichlet Process Mixture Models - Naiqi Li ; Wenjie Li ; Yong Jiang ; Shu-Tao Xia
233 Improving Sign-Random-Projection via Count Sketch - Punit Pankaj Dubey ; Bhisham Dev Verma ; Rameshwar Pratap ; Keegan Kang
234 Self-Supervised Representations for Multi-View Reinforcement Learning - Huanhuan Yang ; Dianxi Shi ; Guojun Xie ; Yingxuan Peng ; Yi Zhang ; Yantai Yang ; Shaowu Yang
241 Federated Online Clustering of Bandits - Xutong Liu ; Haoru Zhao ; Tong Yu ; Shuai Li ; John Lui
243 Robust Textual Embedding against Word-level Adversarial Attacks - Yichen Yang ; Xiaosen Wang ; Kun He
244 Detecting Textual Adversarial Examples through Randomized Substitution and Vote - Xiaosen Wang ; Yifeng Xiong ; Kun He
254 Quantum Perceptron Revisited: Computational-Statistical Tradeoffs - Mathieu Roget ; Giuseppe Di Molfetta ; Hachem Kadri
262 Proportional Allocation of Indivisible Resources under Ordinal and Uncertain Preferences - Zihao Li ; Xiaohui Bei ; Zhenzhen Yan
271 Knowledge Representation Combining Quaternion Path Integration and Depth-wise Atrous Circular Convolution - Xinyuan Chen ; Zhongmei Zhou ; meichun gao ; Daya Shi ; Mohd Nizam Husen
276 Multiclass Classification for Hawkes Processes - Christophe Denis ; Charlotte Dion-Blanc ; Laure Sansonnet
286 Path Flow: A Normalizing Flow Generator that Finds Transition Paths - Tianyi Liu ; Weihao Gao ; Zhirui Wang ; Chong Wang
296 Predictive Whittle Networks for Time Series - Zhongjie Yu ; Fabrizio Ventola ; Nils Thoma ; Devendra Singh Dhami ; Martin Mundt ; Kristian Kersting
301 GNN2GNN: Graph Neural Networks to Generate Neural Networks - Andrea Agiollo ; Andrea Omicini
303 Faster Non-Convex Federated Learning via Global and Local Momentum - Rudrajit Das ; Anish Acharya ; Abolfazl Hashemi ; sujay sanghavi ; Inderjit S Dhillon ; ufuk topcu
313 Restless and Uncertain: Robust Policies for Restless Bandits via Deep Multi-Agent Reinforcement Learning - Jackson A. Killian ; Lily Xu ; Arpita Biswas ; Milind Tambe
316 Research on video adversarial attack with long living cycle - Zeyu Zhao ; KE XU ; Xinghao Jiang ; Tanfeng Sun
318 Sublinear Time Algorithms for Greedy Selection in High Dimensions - Qi Chen ; Kai Liu ; Ruilong Yao ; Hu Ding
325 Reframed GES with a Neural Conditional Dependence Measure - Xinwei Shen ; Shengyu Zhu ; Jiji Zhang ; Shoubo Hu ; Zhitang Chen
327 High-Probability Bounds for Robust Stochastic Frank-Wolfe Algorithm - Tongyi Tang ; Krishna Balasubramanian ; Thomas Chun Man Lee
338 A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning - Tongzheng Ren ; Tianjun Zhang ; Csaba Szepesvari ; Bo Dai
349 Balancing Utility and Scalability in Metric Differential Privacy - Jacob Imola ; Shiva Kasiviswanathan ; Stephen White ; Abhinav Aggarwal ; Nathanael Teissier
357 Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits - Subhojyoti Mukherjee
366 Understanding and Mitigating the Limitations of Prioritized Experience Replay - Yangchen Pan ; Jincheng Mei ; Amir-massoud Farahmand ; Martha White ; Hengshuai Yao ; Mohsen Rohani ; Jun Luo
388 On-the-fly Adaptation of Patrolling Strategies in Changing Environments - Tomas Brazdil ; David Klaska ; Antonin Kucera ; Vit Musil ; Petr Novotny ; Vojtech Reha
405 SASH: Efficient Secure Aggregation Based on SHPRG For Federated Learning - Zizhen Liu ; Si Chen ; Jing Justin Ye ; Junfeng Fan ; Huawei Li ; Xiaowei Li
427 The Optimal Noise in Noise-Contrastive Learning Is Not What You Think - Omar Chehab ; Alexandre Gramfort ; Aapo Hyvarinen
437 CoSPA: An Improved Masked Language Model for Chinese Spelling Correction - Shoujian Yang ; Lian Yu
458 Bayesian Federated Estimation of Causal Effects from Observational Data - Thanh Vinh Vo ; Young Lee ; Trong Nghia Hoang ; Tze-Yun Leong
475 Decision-Theoretic Planning with Communication in Open Multiagent Systems - Anirudh Kakarlapudi ; Gayathri Anil ; Adam Eck ; Prashant Doshi ; Leen-Kiat Soh
478 SMT-based Weighted Model Integration with Structure Awareness - Giuseppe Spallitta ; Gabriele Masina ; Paolo Morettin ; Andrea Passerini ; Roberto Sebastiani
479 Inductive Synthesis of Finite-State Controllers for POMDPs - Roman Andriushchenko ; Milan Ceska ; Sebastian Junges ; Joost-Pieter Katoen
484 Dimension Reduction for High-dimensional Small Counts with KL Divergence - Yurong Ling ; Jing-Hao Xue
491 Towards Unsupervised Open World Semantic Segmentation - Svenja Uhlemeyer ; Matthias Rottmann ; Hanno Gottschalk
493 Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits - Dexun Li ; Pradeep Varakantham
500 Combating the Instability of Mutual Information-based Losses via Regularization - Kwanghee Choi ; Siyeong Lee
504 Mutation-Driven Follow the Regularized Leader for Last-Iterate Convergence in Zero-Sum Games - Kenshi Abe ; Mitsuki Sakamoto ; Atsushi Iwasaki
513 Mutual Information Based Bayesian Graph Neural Network for Few-shot Learning - Kaiyu Song ; Kun Yue ; Liang Duan ; Mingze Yang ; Angsheng Li
545 Cross-domain Adaptive Transfer Reinforcement Learning Based on State-Action Correspondence - You Heng ; Tianpei Yang ; YAN ZHENG ; Jianye HAO ; Matthew E. Taylor
548 Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming - Supriyo Ghosh ; Laura Wynter ; Shiau Hong Lim ; Duc Thien Nguyen
557 Conditional Simulation Using Diffusion Schrödinger Bridges - Yuyang Shi ; Valentin De Bortoli ; George Deligiannidis ; Arnaud Doucet
560 Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision - Mayee F Chen ; Daniel Yang Fu ; Dyah Adila ; Michael Zhang ; Frederic Sala ; Kayvon Fatahalian ; Christopher Re
580 Bias Aware Probabilistic Boolean Matrix Facortization - Changlin Wan ; Pengtao Dang ; Tong Zhao ; Yong Zang ; Chi Zhang ; Sha Cao
587 Identifying near-optimal decisions in linear-in-parameter bandit models with continuous decision sets - Sanjay P. Bhat ; Chaitanya Amballa
591 Causal Forecasting: Generalization Bounds for Autoregressive Models - Leena Chennuru Vankadara ; Philipp Michael Faller ; Michaela Hardt ; Lenon Minorics ; Debarghya Ghoshdastidar ; Dominik Janzing
602 Robust Expected Information Gain for Optimal Bayesian Experimental Design Using Ambiguity Sets - Jinwoo Go ; Tobin Isaac
609 Causal Inference with Treatment Measurement Error: A Nonparametric Instrumental Variable Approach - Yuchen Zhu ; Limor Gultchin ; Arthur Gretton ; Matt Kusner ; Ricardo Silva
625 Reinforcement Learning in Many-Agent Settings Under Partial Observability - Keyang He ; Prashant Doshi ; Bikramjit Banerjee
631 Nonparametric Exponential Family Graph Embeddings for Multiple Representation Learning - Chien Lu ; Jaakko Peltonen ; Timo Nummenmaa ; Jyrki Nummenmaa
637 Resolving label uncertainty with implicit posterior models - Esther Rolf ; Nikolay Malkin ; Alexandros Graikos ; Ana Jojic ; Caleb Robinson ; Nebojsa Jojic
661 Learning Functions on Multiple Sets using Multi-Set Transformers - Kira A. Selby ; Ahmad Rashid ; Ivan Kobyzev ; Mehdi Rezagholizadeh ; Pascal Poupart
670 Addressing Token Uniformity in Transformers via Singular Value Transformation - Hanqi Yan ; Lin Gui ; Wenjie Li ; Yulan He
678 Learning Linear Non-Gaussian Polytree Models - Daniele Tramontano ; Anthea Monod ; Mathias Drton
684 An Explore-then-Commit Algorithm for Submodular Maximization Under Full-bandit Feedback - Guanyu Nie ; Mridul Agarwal ; Abhishek Kumar Umrawal ; Vaneet Aggarwal ; Christopher John Quinn
687 If You've Trained One You’ve Trained Them All: Inter-Architecture Similarity Increases With Robustness - Haydn Jones ; Jacob M. Springer ; Garrett T. Kenyon ; Juston Moore
729 Contrastive Latent Variable Models for Neural Text Generation - Zhiyang Teng ; Chenhua Chen ; Yan Zhang ; Yue Zhang
730 SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs - Vishal Sharma ; Daman Arora ; Florian Geißer ; Mausam . ; Parag Singla
731 Identifiability of Sparse Causal Effects using Instrumental Variables - Niklas Pfister ; Jonas Peters

4 Aug - 15:00-15:30 - Spotlight session 8 (presented remotely)

32 Residual Bootstrap Exploration for Stochastic Linear Bandit - Shuang Wu ; Chi-Hua Wang ; Yuantong Li ; Guang Cheng
122 Differentially Private SGDA for Minimax Problems - Zhenhuan Yang ; Shu Hu ; Yunwen Lei ; Kush R. Varshney ; Siwei Lyu ; Yiming Ying
172 On the Effectiveness of Adversarial Training Against Common Corruptions - Klim Kireev ; Maksym Andriushchenko ; Nicolas Flammarion
273 Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation System - Mao Ye ; Ruichen Jiang ; Haoxiang Wang ; Dhruv Choudhary ; Xiaocong Du ; Bhargav Bhushanam ; Aryan Mokhtari ; Arun Kejariwal ; qiang liu
306 X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning - Fan Ding ; Yexiang Xue
312 ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning - Zhe Wang ; Jake Grigsby ; Arshdeep Sekhon ; Yanjun Qi
322 Perturbation Type Categorization for Multiple Adversarial Perturbation Robustness - Pratyush Maini ; Xinyun Chen ; Bo Li ; Dawn Song
584 Learning a Neural Pareto Manifold Extractor with Constraints - Soumyajit Gupta ; Gurpreet Singh ; Raghu Bollapragada ; Matthew Lease
371 Differentially Private Multi-Party Data Release for Linear Regression - Ruihan Wu ; Xin Yang ; Yuanshun Yao ; Jiankai Sun ; Tianyi Liu ; Kilian Q Weinberger ; Chong Wang
421 Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift - Ananya Kumar ; Tengyu Ma ; Percy Liang ; Aditi Raghunathan
549 ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling - Subhojyoti Mukherjee ; Josiah P. Hanna ; Robert D Nowak
566 Regret Guarantees for Model-Based Reinforcement Learning with Long-Term Average Constraints - Mridul Agarwal ; Qinbo Bai ; Vaneet Aggarwal
572 Privacy-Aware Compression for Federated Data Analysis - Kamalika Chaudhuri ; Chuan Guo ; Michael Rabbat
576 Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features - Haohan Wang ; Zeyi Huang ; Hanlin Zhang ; Yong Jae Lee ; Eric Xing
582 Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? - Washim Uddin Mondal ; Vaneet Aggarwal ; Satish Ukkusuri
597 Deterministic Policy Gradient: Convergence Analysis - Huaqing Xiong ; Tengyu Xu ; Lin Zhao ; Yingbin Liang ; Wei Zhang
613 Dynamic Relocation in Ridesharing via Fixpoint Construction - Ian A. Kash ; zhongkai wen ; Lenore Zuck
628 Offline Reinforcement Learning Under Value and Density-Ratio Realizability: The Power of Gaps - Jinglin Chen ; Nan Jiang
665 Offline Stochastic Shortest Path: Learning, Evaluation and Towards Optimality - Ming Yin ; Wenjing Chen ; Mengdi Wang ; Yu-Xiang Wang
690 Near-Optimal Thompson Sampling-based Algorithms for Differentially Private Stochastic Bandits - Bingshan Hu ; Nidhi Hegde
697 Linearizing Contextual Bandits with Latent State Dynamics - Elliot Nelson ; Debarun Bhattacharjya ; Tian Gao ; Miao Liu ; Djallel Bouneffouf ; Pascal Poupart
702 FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning - Divyansh Jhunjhunwala ; Pranay Sharma ; Aushim Nagarkatti ; Gauri Joshi
704 Active Approximately Metric-Fair Learning - Yiting Cao ; Chao Lan
7 Ordinal Causal Discovery - Yang Ni ; Bani Mallick

4 Aug - 15:30-16:00 - Coffee break

4 Aug - 16:00-17:15 - Oral session 6: Machine Learning

225 Clustering a Union of Linear Subspaces via Matrix Factorization and Innovation Search - Mostafa Rahmani (presented in person)

Discussant: Sibylle Hess (TU Eindhoven)

170 Expectation Programming: Adapting Probabilistic Programming Systems to Estimate Expectations Efficiently - Tim Reichelt ; Adam Golinski ; Luke Ong ; Tom Rainforth (presented in person)

Discussant: Alew Lew (MIT)

254 Quantum Perceptron Revisited: Computational-Statistical Tradeoffs - Mathieu Roget ; Giuseppe Di Molfetta ; Hachem Kadri (presented in person)

Discussant: Mansi Rankawat (Mila and Universite de Montreal)

456 Implicit kernel meta-learning using kernel integral forms - John Isak Texas Falk ; Carlo Ciliberto ; Massimiliano Pontil (presented in person)

Discussant: Joe Suzuki (Osaka University)

327 High-Probability Bounds for Robust Stochastic Frank-Wolfe Algorithm - Tongyi Tang ; Krishna Balasubramanian ; Thomas Chun Man Lee (presented remotely)

Discussant: Christopher Quinn (Iowa State University)

4 Aug - 17:15-17:55 - Spotlight session 9 (presented remotely)

31 Causal Discovery with Heterogeneous Observational Data - Fangting Zhou ; Kejun He ; Yang Ni
49 Variational Message Passing Neural Network for Maximum-A-Posteriori Inference - Zijun Cui ; Hanjing Wang ; Tian Gao ; Kartik Talamadupula ; Qiang Ji
194 Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations - Paidamoyo Chapfuwa ; Sherri Rose ; Lawrence Carin ; Edward Meeds ; Ricardo Henao
335 On Testability of the Front-Door Model via Verma Constraints - Rohit Bhattacharya ; Razieh Nabi
571 On the Definition and Computation of Causal Treewidth - Yizuo Chen ; Adnan Darwiche
649 $\ell_{\infty}$-Bounds of the MLE in the BTL Model under General Comparison Graphs - Wanshan Li ; Shamindra Shrotriya ; Alessandro Rinaldo
696 A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks - Zhipeng Huang ; Hadeel Soliman ; Subhadeep Paul ; Kevin S. Xu
714 AdaCat: Adaptive Categorical Discretization for Autoregressive Models - Qiyang Li ; Ajay Jain ; Pieter Abbeel
16 Learning Binary Multi-Scale Games on Networks - Sixie Yu ; P. Jeffrey Brantingham ; Matthew Valasik ; Yevgeniy Vorobeychik
28 Efficient and Accurate Top-$K$ Recovery from Choice Data - Duc Nguyen
130 Self-Distribution Distillation: Efficient Uncertainty Estimation - Yassir Fathullah ; Mark Gales
196 Information Design for Multiple Independent and Self-Interested Defenders: Work Less, Pay Off More - Chenghan Zhou ; Andrew Spivey ; Haifeng Xu ; Thanh Hong Nguyen
315 Information-Theoretic Approach to Detect Collusion in Multi-Agent Games - Trevor Bonjour ; Vaneet Aggarwal ; Bharat Bhargava
604 Partial Likelihood Thompson Sampling - Han Wu ; Stefan Wager
5 Test for non-negligible adverse shifts - Vathy M. Kamulete
146 Data Sampling Affects the Complexity of Online SGD over Dependent Data - Shaocong Ma ; Ziyi Chen ; Yi Zhou ; Kaiyi Ji ; Yingbin Liang
162 Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set - Mao Ye ; Qiang Liu
178 StackMix: A complementary Mix algorithm - John Chen ; Samarth Sinha ; Anastasios Kyrillidis
477 Orthogonal Gromov Wasserstein Distance with Efficient Lower Bound - Hongwei Jin ; Zishun Yu ; Xinhua Zhang
517 Noisy $\ell^{0}$-Sparse Subspace Clustering on Dimensionality Reduced Data - Yingzhen Yang ; Ping Li
534 VQ-Flows: Vector Quantized Local Normalizing Flows - Sahil Sidheekh ; Chris Barton Dock ; Tushar Jain ; Radu Balan ; Maneesh Kumar Singh
542 A label-efficient two-sample test - Weizhi Li ; Gautam Dasarathy ; Karthikeyan Natesan Ramamurthy ; Visar Berisha
652 Low Precision Arithmetic for Fast Gaussian Processes - Wesley Maddox ; Andres Potapcynski ; Andrew Gordon Wilson
739 Offline Change Detection under Contamination - Sujay Bhatt ; Guanhua Fang ; Ping Li
695 Greedy Modality Selection via Approximate Submodular Maximization - Runxiang Cheng ; Gargi Balasubramaniam ; Yifei He ; Yao-Hung Hubert Tsai ; Han Zhao
723 Robust Identifiability in Linear Structural Equation Models of Causal Inference - Karthik Abinav Sankararaman ; Anand Louis ; Navin Goyal
620 Systematized Event-Aware Learning for Multi-Object Tracking - Hyemin Lee ; Daijin Kim
339 NeuroBE: Escalating NN Approximations of Bucket Elimination - Sakshi Agarwal ; Kalev Kask ; Alexander Ihler ; Rina Dechter

4 Aug - 17:55-18:00 - Break

4 Aug - 18:00-19:00 - Keynote: Finale Doshi-Velez

4 Aug - 19:00-20:00 - Townhall and Best Paper Awards

4 Aug - 20:00-21:00 - Virtual poster session II

5 Test for non-negligible adverse shifts - Vathy M. Kamulete
7 Ordinal Causal Discovery - Yang Ni ; Bani Mallick
16 Learning Binary Multi-Scale Games on Networks - Sixie Yu ; P. Jeffrey Brantingham ; Matthew Valasik ; Yevgeniy Vorobeychik
18 Efficient and Transferable Adversarial Examples from Bayesian Neural Networks - Martin Gubri ; Maxime Cordy ; Mike Papadakis ; Yves Le Traon ; Koushik Sen
28 Efficient and Accurate Top-$K$ Recovery from Choice Data - Duc Nguyen
31 Causal Discovery with Heterogeneous Observational Data - Fangting Zhou ; Kejun He ; Yang Ni
32 Residual Bootstrap Exploration for Stochastic Linear Bandit - Shuang Wu ; Chi-Hua Wang ; Yuantong Li ; Guang Cheng
49 Variational Message Passing Neural Network for Maximum-A-Posteriori Inference - Zijun Cui ; Hanjing Wang ; Tian Gao ; Kartik Talamadupula ; Qiang Ji
57 Solving Structured Hierarchical Games Using Differential Backward Induction - Zun Li ; Feiran Jia ; Aditya Mate ; Shahin Jabbari ; Mithun Chakraborty ; Milind Tambe ; Yevgeniy Vorobeychik
69 Sequential algorithmic modification with test data reuse - Jean Feng ; Gene Pennello ; Nicholas Petrick ; Berkman Sahiner ; Romain Pirracchio ; Alexej Gossmann
84 Marginal MAP Estimation for Inverse RL under Occlusion with Observer Noise - Prasanth Sengadu Suresh ; Prashant Doshi
122 Differentially Private SGDA for Minimax Problems - Zhenhuan Yang ; Shu Hu ; Yunwen Lei ; Kush R. Varshney ; Siwei Lyu ; Yiming Ying
130 Self-Distribution Distillation: Efficient Uncertainty Estimation - Yassir Fathullah ; Mark Gales
146 Data Sampling Affects the Complexity of Online SGD over Dependent Data - Shaocong Ma ; Ziyi Chen ; Yi Zhou ; Kaiyi Ji ; Yingbin Liang
162 Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set - Mao Ye ; Qiang Liu
172 On the Effectiveness of Adversarial Training Against Common Corruptions - Klim Kireev ; Maksym Andriushchenko ; Nicolas Flammarion
178 StackMix: A complementary Mix algorithm - John Chen ; Samarth Sinha ; Anastasios Kyrillidis
184 Learning Explainable Templated Graphical Models - Varun R. Embar ; sriram srinivasan ; Lise Getoor
194 Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations - Paidamoyo Chapfuwa ; Sherri Rose ; Lawrence Carin ; Edward Meeds ; Ricardo Henao
196 Information Design for Multiple Independent and Self-Interested Defenders: Work Less, Pay Off More - Chenghan Zhou ; Andrew Spivey ; Haifeng Xu ; Thanh Hong Nguyen
207 Distributed Adversarial Training to Robustify Deep Neural Networks at Scale - Gaoyuan Zhang ; Songtao Lu ; Yihua Zhang ; Xiangyi Chen ; Pin-Yu Chen ; Quanfu Fan ; Lee Martie ; Lior Horesh ; Mingyi Hong ; Sijia Liu
225 Clustering a Union of Linear Subspaces via Matrix Factorization and Innovation Search - Mostafa Rahmani
232 Binary Independent Component Analysis: A Non-stationarity-based Approach - Antti Hyttinen ; Vitoria Barin Pacela ; Aapo Hyvarinen
239 Efficient Inference for Dynamic Topic Modeling with Large Vocabularies - Federico Tomasi ; Mounia Lalmas ; Zhenwen Dai
273 Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation System - Mao Ye ; Ruichen Jiang ; Haoxiang Wang ; Dhruv Choudhary ; Xiaocong Du ; Bhargav Bhushanam ; Aryan Mokhtari ; Arun Kejariwal ; Qiang Liu
287 Uncertainty-Aware Pseudo-labeling for Quantum Calculations - Kexin Huang ; Vishnu Sresht ; Brajesh Rai ; Mykola Bordyuh
294 Greedy Relaxations of the Sparsest Permutation Algorithm - Wai-Yin Lam ; Bryan Andrews ; Joseph Ramsey
306 X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning - Fan Ding ; Yexiang Xue
312 ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning - Zhe Wang ; Jake Grigsby ; Arshdeep Sekhon ; Yanjun Qi
315 Information-Theoretic Approach to Detect Collusion in Multi-Agent Games - Trevor Bonjour ; Vaneet Aggarwal ; Bharat Bhargava
322 Perturbation Type Categorization for Multiple Adversarial Perturbation Robustness - Pratyush Maini ; Xinyun Chen ; Bo Li ; Dawn Song
323 Efficient Learning of Sparse and Decomposable PDEs using Random Projection - Md Nasim ; Xinghang Zhang ; Anter El-Azab ; Yexiang Xue
335 On Testability of the Front-Door Model via Verma Constraints - Rohit Bhattacharya ; Razieh Nabi
337 Intervention Target Estimation in the Presence of Latent Variables - Burak Varici ; Karthikeyan Shanmugam ; Prasanna Sattigeri ; Ali Tajer
339 NeuroBE: Escalating NN Approximations of Bucket Elimination - Sakshi Agarwal ; Kalev Kask ; Alexander Ihler ; Rina Dechter
371 Differentially Private Multi-Party Data Release for Linear Regression - Ruihan Wu ; Xin Yang ; Yuanshun Yao ; Jiankai Sun ; Tianyi Liu ; Kilian Q Weinberger ; Chong Wang
412 Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation - Or Dinari ; Oren Freifeld
421 Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift - Ananya Kumar ; Tengyu Ma ; Percy Liang ; Aditi Raghunathan
424 Semiparametric Causal Sufficient Dimension Reduction of Multidimensional Treatments - Razieh Nabi ; Todd McNutt ; Ilya Shpitser
444 Equilibrium Aggregation: Encoding Sets via Optimization - Sergey Bartunov ; Fabian Bernd Fuchs ; Timothy P Lillicrap
457 A Geometric Method for Improved Uncertainty Estimation in Real-time - Gabriella Chouraqui ; Liron Cohen ; Gil Einziger ; Liel leman
477 Orthogonal Gromov Wasserstein Distance with Efficient Lower Bound - Hongwei Jin ; Zishun Yu ; Xinhua Zhang
489 Quadratic Metric Elicitation for Fairness and Beyond - Gaurush Hiranandani ; Jatin Mathur ; Harikrishna Narasimhan ; Oluwasanmi O Koyejo
517 Noisy $\ell^{0}$-Sparse Subspace Clustering on Dimensionality Reduced Data - Yingzhen Yang ; Ping Li
522 Bayesian Quantile and Expectile Optimisation - Victor Picheny ; Henry Moss ; Leonard Torossian ; Nicolas Durrande
527 Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization - Sungryull Sohn ; Hyunjae Woo ; Jongwook Choi ; Lyubing Qiang ; Izzeddin Gur ; Aleksandra Faust ; Honglak Lee
530 Learning Large Bayesian Networks with Expert Constraints - Vaidyanathan Peruvemba Ramaswamy ; Stefan Szeider
531 Causal Discovery of Extended Summary Graphs in Time Series - Charles K. Assaad ; Emilie Devijver ; Eric Gaussier
534 VQ-Flows: Vector Quantized Local Normalizing Flows - Sahil Sidheekh ; Chris Barton Dock ; Tushar Jain ; Radu Balan ; Maneesh Kumar Singh
542 A label-efficient two-sample test - Weizhi Li ; Gautam Dasarathy ; Karthikeyan Natesan Ramamurthy ; Visar Berisha
549 ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling - Subhojyoti Mukherjee ; Josiah P. Hanna ; Robert D Nowak
566 Regret Guarantees for Model-Based Reinforcement Learning with Long-Term Average Constraints - Mridul Agarwal ; Qinbo Bai ; Vaneet Aggarwal
571 On the Definition and Computation of Causal Treewidth - Yizuo Chen ; Adnan Darwiche
572 Privacy-Aware Compression for Federated Data Analysis - Kamalika Chaudhuri ; Chuan Guo ; Michael Rabbat
576 Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features - Haohan Wang ; Zeyi Huang ; Hanlin Zhang ; Yong Jae Lee ; Eric Xing
578 CounteRGAN: Generating Counterfactuals for Real-Time Recourse and Interpretability using Residual GANs - Daniel Alexander Nemirovsky ; Nicolas Kevin Thiebaut ; Ye Xu ; Abhishek Gupta
582 Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? - Washim Uddin Mondal ; Vaneet Aggarwal ; Satish Ukkusuri
584 Learning a Neural Pareto Manifold Extractor with Constraints - Soumyajit Gupta ; Gurpreet Singh ; Raghu Bollapragada ; Matthew Lease
594 Bayesian Spillover Graphs for Dynamic Networks - Grace Deng ; David S. Matteson
597 Deterministic Policy Gradient: Convergence Analysis - Huaqing Xiong ; Tengyu Xu ; Lin Zhao ; Yingbin Liang ; Wei Zhang
604 Partial Likelihood Thompson Sampling - Han Wu ; Stefan Wager
607 Bayesian Structure Learning with Generative Flow Networks - Tristan Deleu ; António Góis ; Chris Chinenye Emezue ; Mansi Rankawat ; Simon Lacoste-Julien ; Stefan Bauer ; Yoshua Bengio
613 Dynamic Relocation in Ridesharing via Fixpoint Construction - Ian A. Kash ; Zhongkai Wen ; Lenore Zuck
620 Systematized Event-Aware Learning for Multi-Object Tracking - Hyemin Lee ; Daijin Kim
628 Offline Reinforcement Learning Under Value and Density-Ratio Realizability: The Power of Gaps - Jinglin Chen ; Nan Jiang
649 $\ell_{\infty}$-Bounds of the MLE in the BTL Model under General Comparison Graphs - Wanshan Li ; Shamindra Shrotriya ; Alessandro Rinaldo
652 Low Precision Arithmetic for Fast Gaussian Processes - Wesley Maddox ; Andres Potapcynski ; Andrew Gordon Wilson
654 Stability of SGD: Tightness Analysis and Improved Bounds - Yikai Zhang ; Wenjia Zhang ; Sammy Bald ; Vamsi Pritham Pingali ; Chao Chen ; Mayank Goswami
658 Interpolating Between Sampling and Variational Inference with Infinite Stochastic Mixtures - Richard D Lange ; Ari S Benjamin ; Ralf Haefner ; Xaq Pitkow
663 Neuro-Symbolic Entropy Regularization - Kareem Ahmed ; Eric Wang ; Kai-Wei Chang ; Guy Van den Broeck
665 Offline Stochastic Shortest Path: Learning, Evaluation and Towards Optimality - Ming Yin ; Wenjing Chen ; Mengdi Wang ; Yu-Xiang Wang
674 Data Poisoning Attacks on Off-Policy Policy Evaluation Methods - Elita Lobo ; Harvineet Singh ; Marek Petrik ; Cynthia Rudin ; Himabindu Lakkaraju
690 Near-Optimal Thompson Sampling-based Algorithms for Differentially Private Stochastic Bandits - Bingshan Hu ; Nidhi Hegde
695 Greedy Modality Selection via Approximate Submodular Maximization - Runxiang Cheng ; Gargi Balasubramaniam ; Yifei He ; Yao-Hung Hubert Tsai ; Han Zhao
696 A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks - Zhipeng Huang ; Hadeel Soliman ; Subhadeep Paul ; Kevin S. Xu
697 Linearizing Contextual Bandits with Latent State Dynamics - Elliot Nelson ; Debarun Bhattacharjya ; Tian Gao ; Miao Liu ; Djallel Bouneffouf ; Pascal Poupart
702 FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning - Divyansh Jhunjhunwala ; Pranay Sharma ; Aushim Nagarkatti ; Gauri Joshi
704 Active Approximately Metric-Fair Learning - Yiting Cao ; Chao Lan
714 AdaCat: Adaptive Categorical Discretization for Autoregressive Models - Qiyang Li ; Ajay Jain ; Pieter Abbeel
717 Estimating Transfer Entropy under Long Ranged Dependencies - Sahil Garg ; Umang Gupta ; Yu Chen ; Syamantak Datta Gupta ; Yeshaya Adler ; Anderson Schneider ; Yuriy Nevmyvaka
723 Robust Identifiability in Linear Structural Equation Models of Causal Inference - Karthik Abinav Sankararaman ; Anand Louis ; Navin Goyal
739 Offline Change Detection under Contamination - Sujay Bhatt ; Guanhua Fang ; Ping Li

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