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).

(Return to overview)

2 AUG

2 Aug - 09:00-10:00 - Keynote: Danilo J. Rezende

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

2 Aug - 10:30-12:15 - Oral session 1: Deep Learning

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 (presented in person)

Discussant: Svenja Uhlemeyer (University of Wuppertal)

207 Distributed Adversarial Training to Robustify Deep Neural Networks at Scale - Gaoyuan Zhang ; Songtao Lu ; Yihua Zhang ; Xiangyi Chen ; Pin-Yu Chen ; Quanfu Fan (MIT-IBM Watson AI Lab); Lee Martie ; Lior Horesh ; Mingyi Hong ; Sijia Liu (presented in person)

Discussant: Motasem Alfarra (KAUST)

419 Learning Invariant Weights in Neural Networks - Tycho F.A. van der Ouderaa ; Mark van der Wilk (presented in person)

Discussant: Pola Schwöbel (Technical University of Denmark (DTU))

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 (presented in person)

Discussant: Andrea Agiollo (University of Bologna)

513 Mutual Information Based Bayesian Graph Neural Network for Few-shot Learning - Kaiyu Song; Kun Yue ; Liang Duan ; Mingze Yang; Angsheng Li (presented remotely)

Discussant: Francesco Alesiani (NEC Laboratories Europe GmbH)

123 Modeling Extremes with $d$-max-decreasing Neural Networks - Ali Hasan ; Khalil Elkhalil ; Yuting Ng ; Joao M. Pereira ; Sina Farsiu ; Jose Blanchet ; Vahid Tarokh (presented remotely)

Discussant: Amartya Sanyal (ETH Zürich)

663 Neuro-Symbolic Entropy Regularization - Kareem Ahmed ; Eric Wang ; Kai-Wei Chang ; Guy Van den Broeck (presented remotely)

Discussant: Emile van Krieken (Vrije Universiteit Amsterdam)

2 Aug - 12:15-12:30 - Spotlight Session 1 (presented in person)

53 On the Inductive Bias of Neural Networks for Learning Read-once DNFs - Ido Bronstein ; Alon Brutzkus ; Amir Globerson
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
307 Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training - Lu Yin ; Vlado Menkovski ; Meng Fang ; Tianjin Huang ; Yulong Pei ; Mykola Pechenizkiy ; Decebal Constantin Mocanu ; Shiwei Liu
340 Enhanced Adaptive Optics Control with Image to Image Translation - Jeffrey Smith ; Jesse Cranney ; Charles Gretton ; Damien Gratadour
427 The Optimal Noise in Noise-Contrastive Learning Is Not What You Think - Omar Chehab ; Alexandre Gramfort ; Aapo Hyvarinen
622 Feature Learning and Random Features in Standard Finite-Width Convolutional Neural Networks: An Empirical Study - Maxim Samarin ; Volker Roth ; David Belius
670 Addressing Token Uniformity in Transformers via Singular Value Transformation - Hanqi Yan ; Lin Gui ; Wenjie Li ; Yulan He
143 Lifting in Multi-agent Systems under Uncertainty - Tanya Braun ; Marcel Gehrke ; Florian Lau ; Ralf Möller

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

2 Aug - 14:00-15:00 - Keynote: Mihaela van der Schaar

2 Aug - 15:00-15:30 - Spotlight session 2 (9 presented in person + 16 remotely)

284 Individual Fairness in Feature-Based Pricing for Monopoly Markets - Shantanu Das ; Swapnil Dhamal ; Ganesh Ghalme ; Shweta Jain ; Sujit Gujar
289 Case-Based Off-Policy Evaluation Using Prototype Learning - Anton Matsson ; Fredrik Daniel Johansson
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
314 Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL - Akram Erraqabi ; Marlos C. Machado ; Mingde Zhao ; Sainbayar Sukhbaatar ; Alessandro Lazaric ; Ludovic Denoyer ; Yoshua Bengio
326 Towards Painless Policy Optimization for Constrained MDPs - Arushi Jain ; Sharan Vaswani ; Reza Babanezhad Harikandeh ; Csaba Szepesvari ; Doina Precup
349 Balancing Utility and Scalability in Metric Differential Privacy - Jacob Imola ; Shiva Kasiviswanathan ; Stephen White ; Abhinav Aggarwal ; Nathanael Teissier
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
545 Cross-domain Adaptive Transfer Reinforcement Learning Based on State-Action Correspondence - You Heng ; Tianpei Yang ; YAN ZHENG ; Jianye HAO ; Matthew E. Taylor
37 Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes - Jungtaek Kim ; Seungjin Choi ; Minsu Cho
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
193 Variational- and Metric-based Deep Latent Space for Out-of-Distribution Detection - Or Dinari ; Oren Freifeld
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
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
217 Asymptotic Optimality for Active Learning Processes - Xueying Zhan ; Yaowei Wang ; Antoni B. Chan
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
661 Learning Functions on Multiple Sets using Multi-Set Transformers - Kira A. Selby ; Ahmad Rashid ; Ivan Kobyzev ; Mehdi Rezagholizadeh ; Pascal Poupart
484 Dimension Reduction for High-dimensional Small Counts with KL Divergence - Yurong Ling ; Jing-Hao Xue
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
14 CIGMO: Categorical invariant representations in a deep generative framework - Haruo Hosoya

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

2 Aug - 16:00-17:15 - Oral session 2: Trustworthy ML + RL

539 How unfair is private learning ? - Amartya Sanyal ; Yaxi Hu ; Fanny Yang (presented in person)

Discussant: Yang Liu (UCSC)

11 Mitigating Statistical Bias within Differentially Private Synthetic Data - Sahra Ghalebikesabi ; Harrison Wilde ; Jack Jewson ; Arnaud Doucet ; Sebastian Josef Vollmer ; Christopher C. Holmes (presented in person)

Discussant: Shiva Kasiviswanathan (Amazon)

674 Data Poisoning Attacks on Off-Policy Policy Evaluation Methods - Elita Lobo ; Harvineet Singh ; Marek Petrik ; Cynthia Rudin ; Himabindu Lakkaraju (presented remotely)

Discussant: Tanya Ignatenko (GN Hearing)

489 Quadratic Metric Elicitation for Fairness and Beyond - Gaurush Hiranandani ; Jatin Mathur ; Harikrishna Narasimhan ; Oluwasanmi O Koyejo (presented remotely)

Discussant: Gal Yona (Weizmann Institute, Google)

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 (presented remotely)

Discussant: Chenghao Liu (Salesforce)

2 Aug - 17:15-17:55 - Spotlight session 3 (presented in person)

373 Generalizing Off-Policy Learning under Sample Selection Bias - Tobias Hatt ; Daniel Tschernutter ; Stefan Feuerriegel
445 Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport - Rosanna Turrisi ; Rémi Flamary ; Alain Rakotomamonjy ; massimiliano pontil
475 Decision-Theoretic Planning with Communication in Open Multiagent Systems - Anirudh Kakarlapudi ; Gayathri Anil ; Adam Eck ; Prashant Doshi ; Leen-Kiat Soh
479 Inductive Synthesis of Finite-State Controllers for POMDPs - Roman Andriushchenko ; Milan Ceska ; Sebastian Junges ; Joost-Pieter Katoen
533 Active Learning with Label Comparisons - Gal Yona ; Shay Moran ; Gal Elidan ; Amir Globerson
619 Optimal Control of Partially Observable Markov Decision Processes with Finite Linear Temporal Logic Constraints - Krishna C Kalagarla ; Dhruva Kartik ; Rahul Jain ; Pierluigi Nuzzo ; Ashutosh Nayyar ; Dongming Shen
625 Reinforcement Learning in Many-Agent Settings Under Partial Observability - Keyang He ; Prashant Doshi ; Bikramjit Banerjee
636 Asymmetric DQN for Partially Observable Reinforcement Learning - Andrea Baisero ; Brett Daley ; Christopher Amato
671 Robust Learning of Tractable Probabilistic Models - Rohith Peddi ; Tahrima Rahman ; Vibhav Giridhar Gogate
683 Offline Policy Optimization with Eligible Actions - Yao Liu ; Yannis Flet-Berliac ; Emma Brunskill
61 Feature Selection for Discovering Distributional Treatment Effect Modifiers - Yoichi Chikahara ; Makoto Yamada ; Hisashi Kashima
69 Sequential algorithmic modification with test data reuse - Jean Feng ; Gene Pennello ; Nicholas Petrick ; Berkman Sahiner ; Romain Pirracchio ; Alexej Gossmann
184 Learning Explainable Templated Graphical Models - Varun R. Embar ; sriram srinivasan ; Lise Getoor
232 Binary Independent Component Analysis: A Non-stationarity-based Approach - Antti Hyttinen ; Vitoria Barin Pacela ; Aapo Hyvarinen
292 Causal Discovery under a Confounder - Blanket David Watson ; Ricardo Silva
294 Greedy Relaxations of the Sparsest Permutation Algorithm - Wai-Yin Lam ; Bryan Andrews ; Joseph Ramsey
300 Improved Feature Importance Computation for Tree Models Based on the Banzhaf Value - Adam Karczmarz ; Tomasz Michalak ; Anish Mukherjee ; Piotr Sankowski ; Piotr Wygocki
323 Efficient Learning of Sparse and Decomposable PDEs using Random Projection - Md Nasim ; Xinghang Zhang ; Anter El-Azab ; Yexiang Xue
337 Intervention Target Estimation in the Presence of Latent Variables - Burak Varici ; Karthikeyan Shanmugam ; Prasanna Sattigeri ; Ali Tajer
414 A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders - Aurghya Maiti ; Vineet Nair ; Gaurav Sinha
424 Semiparametric Causal Sufficient Dimension Reduction of Multidimensional - Treatments Razieh Nabi ; Todd McNutt ; Ilya Shpitser
458 Bayesian Federated Estimation of Causal Effects from Observational - Data Thanh Vinh Vo ; Young Lee ; Trong Nghia Hoang ; Tze-Yun Leong
509 A Robustness Test for Estimating Total Effects with Covariate Adjustment - Zehao Su ; Leonard Henckel
514 Counterfactual Inference of Second Opinions - Nina L. Corvelo Benz ; Manuel Gomez Rodriguez
531 Causal Discovery of Extended Summary Graphs in Time Series - Charles K. Assaad ; Emilie Devijver ; Eric Gaussier
578 CounteRGAN: Generating Counterfactuals for Real-Time Recourse and Interpretability using Residual GANs - Daniel Alexander Nemirovsky ; Nicolas Kevin Thiebaut ; Ye Xu ; Abhishek Gupta
607 Bayesian Structure Learning with Generative Flow Networks - Tristan Deleu ; António Góis ; Chris Chinenye Emezue ; Mansi Rankawat ; Simon Lacoste-Julien ; Stefan Bauer ; Yoshua Bengio
638 Greedy Equivalence Search in the Presence of Latent Confounders - Tom Claassen ; Ioan Gabriel Bucur
641 Principle of Relevant Information for Graph Sparsification - Shujian Yu ; Francesco Alesiani ; Wenzhe Yin ; Robert Jenssen ; Jose C Principe

2 Aug - 17:55-18:00 - Announcement about UAI 2022 Competition

2 Aug - 18:00-23:00 - Lakeside Food Festival

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