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)

3 AUG

3 Aug - 09:00-10:00 - Keynote: Eric Xing

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

3 Aug - 10:30-12:15 - Oral session 3: Causality and Graphical Models

181 Partially Adaptive Regularized Multiple Regression Analysis for Estimating Linear Causal Effects - Hisayoshi Nanmo ; Manabu Kuroki (presented in person)

Discussant: Ankur Ankan (Radboud University)

503 Revisiting the General Identifiability Problem - Yaroslav Kivva ; Ehsan Mokhtarian ; Jalal Etesami ; Negar Kiyavash (presented in person)

Discussant: Sanghack Lee (Seoul National University)

593 Learning soft interventions in complex equilibrium systems - Michel Besserve ; Bernhard Scholkopf (presented in person)

Discussant: Sara Magliacane (University of Amsterdam)

190 Robustness of Model Predictions under Extension - Tineke Blom ; Joris Mooij (presented in person)

Discussant: Yoichi Chikahara (NTT)

482 A New Constructive Criterion for Markov Equivalence of MAGs - Marcel Wienobst ; Max Bannach ; Maciej Liskiewicz (presented in person)

Discussant: Pekka Parviainen (University of Bergen)

609 Causal Inference with Treatment Measurement Error: A Nonparametric Instrumental Variable Approach - Yuchen Zhu ; Limor Gultchin ; Arthur Gretton ; Matt Kusner ; Ricardo Silva (presented in person)

Discussant: Leonard Henckel (University of Copenhagen)

186 Fixing the Bethe Approximation: How Structural Modifications in a Graph Improve Belief Propagation - Harald Leisenberger ; Franz Pernkopf ; Christian Knoll (presented remotely)

Discussant: Alex Markham (KTH Royal Institute of Technology)

3 Aug - 12:15-12:30 - Spotlight session 4 (presented in person)

717 Estimating Transfer Entropy under Long Ranged Dependencies - Sahil Garg ; Umang Gupta ; Yu Chen ; Syamantak Datta Gupta ; Yeshaya Adler ; Anderson Schneider ; Yuriy Nevmyvaka
678 Learning Linear Non-Gaussian Polytree Models - Daniele Tramontano ; Anthea Monod ; Mathias Drton
111 Balancing Adaptability and Non-exploitability in Repeated Games - Anthony DiGiovanni ; Ambuj Tewari
180 Fast Predictive Uncertainty for Classification with Bayesian Deep Networks - Marius Hobbhahn ; Agustinus Kristiadi ; Philipp Hennig
258 Multi-winner Approval Voting Goes Epistemic - Tahar Allouche ; Jérôme Lang ; Florian Yger
287 Uncertainty-Aware Pseudo-labeling for Quantum Calculations - Kexin Huang ; Vishnu Sresht ; Brajesh Rai ; Mykola Bordyuh
396 Attribution of Predictive Uncertainties in Classification Models - Iker Perez ; Piotr Skalski ; Alec Barns-Graham ; Jason Wong ; David Sutton
433 Finite-horizon Equilibria for Neuro-symbolic Concurrent Stochastic Games - Rui Yan ; Gabriel Santos ; Xiaoming Duan ; David Parker ; Marta Kwiatkowska
457 A Geometric Method for Improved Uncertainty Estimation in Real-time - Gabriella Chouraqui ; Liron Cohen ; Gil Einziger ; Liel leman
18 Efficient and Transferable Adversarial Examples from Bayesian Neural Networks - Martin Gubri ; Maxime Cordy ; Mike Papadakis ; YVES LE TRAON ; Koushik Sen
84 Marginal MAP Estimation for Inverse RL under Occlusion with Observer Noise - Prasanth Sengadu Suresh ; Prashant Doshi
150 Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification - Joao Monteiro ; Mohamed Osama Ahmed ; Hossein Hajimirsadeghi ; Greg Mori

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

3 Aug - 14:00-15:00 - Keynote: Peter Spirtes

3 Aug - 15:00-15:30 - Spotlight session 5 (presented remotely)

244 Detecting Textual Adversarial Examples through Randomized Substitution and Vote - Xiaosen Wang ; Yifeng Xiong ; Kun He
316 Research on video adversarial attack with long living cycle - Zeyu Zhao ; Ke Xu ; Xinghao Jiang ; Tanfeng Sun
338 A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning - Tongzheng Ren ; Tianjun Zhang ; Csaba Szepesvari ; Bo Dai
405 SASH: Efficient Secure Aggregation Based on SHPRG For Federated Learning - Zizhen Liu ; Si Chen ; Jing Justin Ye ; Junfeng Fan ; Huawei Li ; Xiaowei Li
493 Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits - Dexun Li ; Pradeep Varakantham
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
325 Reframed GES with a Neural Conditional Dependence Measure - Xinwei Shen ; Shengyu Zhu ; Jiji Zhang ; Shoubo Hu ; Zhitang Chen
591 Causal Forecasting: Generalization Bounds for Autoregressive Models - Leena Chennuru Vankadara ; Philipp Michael Faller ; Michaela Hardt ; Lenon Minorics ; Debarghya Ghoshdastidar ; Dominik Janzing
504 Mutation-Driven Follow the Regularized Leader for Last-Iterate Convergence in Zero-Sum Games - Kenshi Abe ; Mitsuki Sakamoto ; Atsushi Iwasaki
12 Robust Bayesian Recourse - Tuan-Duy Hien Nguyen ; Ngoc Bui ; Duy Nguyen ; Man-Chung Yue ; Viet Anh Nguyen
557 Conditional Simulation Using Diffusion Schrödinger Bridges - Yuyang Shi ; Valentin De Bortoli ; George Deligiannidis ; Arnaud Doucet
45 Cyclic Test Time Augmentation with Entropy Weight Method - Sewhan Chun ; Jae Young Lee ; Junmo Kim
48 Convergence Analysis of Linear Coupling with Inexact Proximity Operator - Qiang Zhou ; Sinno Pan
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
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
132 Fine-Grained Matching with Multi-Perspective Similarity Modeling for Cross-Modal Retrieval - Xiumin Xie ; Chuanwen Hou ; Zhixin Li
165 A Competitive Analysis of Online Failure-Aware Assignment - Mengjing Chen ; Pingzhong Tang ; Zihe Wang ; Shenke Xiao ; Xiwang Yang
276 Multiclass Classification for Hawkes Processes - Christophe Denis ; Charlotte Dion-Blanc ; Laure Sansonnet
318 Sublinear Time Algorithms for Greedy Selection in High Dimensions - Qi Chen ; Kai Liu ; Ruilong Yao ; Hu Ding
412 Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation - Or Dinari ; Oren Freifeld
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
141 Data Dependent Randomized Smoothing - Motasem Alfarra ; Adel Bibi ; Philip Torr ; Bernard Ghanem
548 Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming - Supriyo Ghosh ; Laura Wynter ; Shiau Hong Lim ; Duc Thien Nguyen

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

3 Aug - 16:00-17:15 - Oral session 4: Games + Uncertainty

410 Learning in Markov Games: can we exploit a general-sum opponent? - Giorgia Ramponi ; Marcello Restelli (presented in person)

Discussant: Mustafa Mert Çelikok (Aalto University)

388 On-the-fly Adaptation of Patrolling Strategies in Changing Environments - Tomas Brazdil ; David Klaska ; Antonin Kucera ; Vit Musil ; Petr Novotny ; Vojtech Reha (presented in person)

Discussant: Giorgia Ramponi (ETH AI Center)

492 Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison - Eyke Hullermeier ; Sebastien Destercke ; Mohammad Shaker (presented in person)

Discussant: Yingzhen Li (Imperial College London)

660 Hitting Times for Continuous-Time Imprecise-Markov Chains - Thomas Krak (presented in person)

Discussant: Sebastien Destercke (Centre National de la Recherche Scientifique)

57 Solving Structured Hierarchical Games Using Differential Backward Induction - Zun Li ; Feiran Jia ; Aditya Mate ; Shahin Jabbari ; Mithun Chakraborty ; Milind Tambe ; Yevgeniy Vorobeychik (presented remotely)

Discussant: Charles Gretton (The Australian National University)

3 Aug - 17:15-17:55 - Spotlight session 6 (presented in person)

119 Data augmentation in Bayesian neural networks and the cold posterior effect - Seth Nabarro ; Stoil Krasimirov Ganev ; Adrià Garriga-Alonso ; Vincent Fortuin ; Mark van der Wilk ; Laurence Aitchison
226 On Provably Robust Meta-Bayesian Optimization - Zhongxiang Dai ; YIZHOU CHEN ; Haibin Yu ; Bryan Kian Hsiang Low ; Patrick Jaillet
319 Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse - Sachit Menon ; David Blei ; Carl Vondrick
406 Neural Ensemble Search via Bayesian Sampling - Yao Shu ; Yizhou Chen ; Zhongxiang Dai ; Bryan Kian Hsiang Low
431 Empirical Bayes approach to Truth Discovery problems - Tsviel Ben Shabat ; Reshef Meir ; David Azriel
478 SMT-based Weighted Model Integration with Structure Awareness - Giuseppe Spallitta ; Gabriele Masina ; Paolo Morettin ; Andrea Passerini ; Roberto Sebastiani
480 Using hierarchies to efficiently combine evidence with Dempster's rule of combination - Daira Pinto Prieto ; Ronald de Haan
522 Bayesian Quantile and Expectile Optimisation - Victor Picheny ; Henry Moss ; Leonard Torossian ; Nicolas Durrande
530 Learning Large Bayesian Networks with Expert Constraints - Vaidyanathan Peruvemba Ramaswamy ; Stefan Szeider
583 Do Bayesian Variational Autoencoders Know What They Don't Know? - Misha Glazunov ; Apostolis Zarras
617 Probabilistic Spatial Transformer Networks - Pola Schwöbel ; Frederik Rahbæk Warburg ; Martin Jørgensen ; Kristoffer Hougaard Madsen ; Søren Hauberg
631 Nonparametric Exponential Family Graph Embeddings for Multiple Representation Learning - Chien Lu ; Jaakko Peltonen ; Timo Nummenmaa ; Jyrki Nummenmaa
657 Recursive Monte Carlo and Variational Inference with Auxiliary Variables - Alexander K. Lew ; Marco Cusumano-Towner ; Vikash Mansinghka
658 Interpolating Between Sampling and Variational Inference with Infinite Stochastic Mixtures - Richard D Lange ; Ari S Benjamin ; Ralf Haefner ; Xaq Pitkow
734 Generalized Bayesian Quadrature with Spectral Kernels - Houston Warren ; Rafael Oliveira ; Fabio Ramos
78 Learning Sparse Representations of Preferences within Choquet Expected Utility Theory - Margot Herin ; Patrice Perny ; Nataliya Sokolovska
124 Simplified and Unified Analysis of Various Learning Problems by Reduction to Multiple-Instance Learning - Daiki Suehiro ; Eiji Takimoto
154 SENTINEL: Taming Uncertainty with Ensemble based Distributional Reinforcement Learning - Hannes Eriksson ; Debabrota Basu ; Mina Alibeigi ; Christos Dimitrakakis
188 Voronoi Density Estimator for High-Dimensional Data: Computation, Compactification and Convergence - Vladislav Polianskii ; Giovanni Luca Marchetti ; Alexander Kravberg ; Anastasiia Varava ; Florian T. Pokorny ; Danica Kragic Jensfelt
239 Efficient Inference for Dynamic Topic Modeling with Large Vocabularies - Federico Tomasi ; Mounia Lalmas ; Zhenwen Dai
250 Multistate Analysis with Infinite Mixtures of Markov Chains - Lucas Maystre ; Tiffany Wu ; Roberto Sanchis Ojeda ; Tony Jebara
333 Local Calibration: Metrics and Recalibration - Rachel Luo ; Aadyot Bhatnagar ; Yu Bai ; Shengjia Zhao ; Huan Wang ; Caiming Xiong ; Silvio Savarese ; Edward Schmerling ; Marco Pavone
444 Equilibrium Aggregation: Encoding Sets via Optimization - Sergey Bartunov ; Fabian Bernd Fuchs ; Timothy P Lillicrap
453 Set-valued prediction in hierarchical classification with constrained representation complexity - Thomas Mortier ; Krzysztof Dembczynski ; Eyke Hüllermeier ; Willem Waegeman
474 AND/OR Branch-and-Bound for Computational Protein Design Optimizing K* - Bobak Pezeshki ; Radu Marinescu ; Alexander Ihler ; Rina Dechter
491 Towards Unsupervised Open World Semantic Segmentation - Svenja Uhlemeyer ; Matthias Rottmann ; Hanno Gottschalk
525 On Early Extinction and the Effect of Travelling in the SIR Model - Petra Berenbrink ; Colin Cooper ; Cristina Gava ; David Kohan Marzagao ; Frederik Mallmann-Trenn ; Tomasz Radzik
575 Semi-supervised novelty detection using ensembles with regularized disagreement - Alexandru Tifrea ; Eric Petru Stavarache ; Fanny Yang
640 Non-Parametric Inference of Relational Dependence - Ragib Ahsan ; Zahra Fatemi ; David Arbour ; Elena Zheleva
654 Stability of SGD: Tightness Analysis and Improved Bounds - Yikai Zhang ; Wenjia Zhang ; Sammy Bald ; Vamsi Pritham Pingali ; Chao Chen ; Mayank Goswami

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

3 Aug - 18:00-19:00 - Physical poster session I (with drinks/snacks)

Papers presented in person in Oral Sessions 1-3 & papers with in-person spotlight presentations and ID < 415

3 Aug - 19:00-20:00 - Physical poster session II (with drinks/snacks)

Papers presented in person in Oral Sessions 4-6 & papers with in-person spotlight presentations and ID > 414

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