| 2022 | PAC-Bayesian domain adaptation bounds for multiclass learners. | Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang |
| 2022 | Shifted compression framework: generalizations and improvements. | Egor Shulgin, Peter Richtrik |
| 2022 | Neural ensemble search via Bayesian sampling. | Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low |
| 2022 | SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs. | Vishal Sharma, Daman Arora, Florian Geier, Mausam, Parag Singla |
| 2022 | Empirical bayes approach to truth discovery problems. | Tsviel Ben Shabat, Reshef Meir, David Azriel |
| 2022 | Learning functions on multiple sets using multi-set transformers. | Kira A. Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart |
| 2022 | Probabilistic spatial transformer networks. | Pola Schwbel, Frederik Rahbk Warburg, Martin Jrgensen, Kristoffer Hougaard Madsen, Sren Hauberg |
| 2022 | How unfair is private learning? | Amartya Sanyal, Yaxi Hu, Fanny Yang |
| 2022 | Robust identifiability in linear structural equation models of causal inference. | Karthik Abinav Sankararaman, Anand Louis, Navin Goyal |
| 2022 | Feature learning and random features in standard finite-width convolutional neural networks: An empirical study. | Maxim Samarin, Volker Roth, David Belius |
| 2022 | Resolving label uncertainty with implicit posterior models. | Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic |
| 2022 | Quantum perceptron revisited: Computational-statistical tradeoffs. | Mathieu Roget, Giuseppe Di Molfetta, Hachem Kadri |
| 2022 | A free lunch from the noise: Provable and practical exploration for representation learning. | Tongzheng Ren, Tianjun Zhang, Csaba Szepesvri, Bo Dai |
| 2022 | Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently. | Tim Reichelt, Adam Golinski, Luke Ong, Tom Rainforth |
| 2022 | Learning in Markov games: Can we exploit a general-sum opponent? | Giorgia Ramponi, Marcello Restelli |
| 2022 | Learning large Bayesian networks with expert constraints. | Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider |
| 2022 | Clustering a union of linear subspaces via matrix factorization and innovation search. | Mostafa Rahmani |
| 2022 | Using hierarchies to efficiently combine evidence with Dempster's rule of combination. | Daira Pinto Prieto, Ronald de Haan |
| 2022 | 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 |
| 2022 | Bayesian quantile and expectile optimisation. | Victor Picheny, Henry B. Moss, Leonard Torossian, Nicolas Durrande |
| 2022 | Identifiability of sparse causal effects using instrumental variables. | Niklas Pfister, Jonas Peters |
| 2022 | AND/OR branch-and-bound for computational protein design optimizing K. | Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter |
| 2022 | Attribution of predictive uncertainties in classification models. | Iker Perez, Piotr Skalski, Alec Barns-Graham, Jason Wong, David Sutton |
| 2022 | Robust learning of tractable probabilistic models. | Rohith Peddi, Tahrima Rahman, Vibhav Gogate |
| 2022 | Understanding and mitigating the limitations of prioritized experience replay. | Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo |