| 2022 | Learning invariant weights in neural networks. | Tycho F. A. van der Ouderaa, Mark van der Wilk |
| 2022 | Evaluating high-order predictive distributions in deep learning. | Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy |
| 2022 | Ordinal causal discovery. | Yang Ni, Bani K. Mallick |
| 2022 | An explore-then-commit algorithm for submodular maximization under full-bandit feedback. | Guanyu Nie, Mridul Agarwal, Abhishek Kumar Umrawal, Vaneet Aggarwal, Christopher John Quinn |
| 2022 | Robust Bayesian recourse. | Tuan-Duy H. Nguyen, Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen |
| 2022 | Efficient and accurate top-k recovery from choice data. | Duc Nguyen |
| 2022 | CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs. | Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta |
| 2022 | Linearizing contextual bandits with latent state dynamics. | Elliot Nelson, Debarun Bhattacharjya, Tian Gao, Miao Liu, Djallel Bouneffouf, Pascal Poupart |
| 2022 | Efficient learning of sparse and decomposable PDEs using random projection. | Md. Nasim, Xinghang Zhang, Anter El-Azab, Yexiang Xue |
| 2022 | Partially adaptive regularized multiple regression analysis for estimating linear causal effects. | Hisayoshi Nanmo, Manabu Kuroki |
| 2022 | Semiparametric causal sufficient dimension reduction of multidimensional treatments. | Razieh Nabi, Todd McNutt, Ilya Shpitser |
| 2022 | Data augmentation in Bayesian neural networks and the cold posterior effect. | Seth Nabarro, Stoil Ganev, Adri Garriga-Alonso, Vincent Fortuin, Mark van der Wilk, Laurence Aitchison |
| 2022 | Probabilistic surrogate networks for simulators with unbounded randomness. | Andreas Munk, Berend Zwartsenberg, Adam Scibior, Atilim Gnes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood |
| 2022 | ReVar: Strengthening policy evaluation via reduced variance sampling. | Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak |
| 2022 | Safety aware changepoint detection for piecewise i.i.d. bandits. | Subhojyoti Mukherjee |
| 2022 | Set-valued prediction in hierarchical classification with constrained representation complexity. | Thomas Mortier, Eyke Hllermeier, Krzysztof Dembczynski, Willem Waegeman |
| 2022 | Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification. | Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori |
| 2022 | Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction? | Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri |
| 2022 | Forget-me-not! Contrastive critics for mitigating posterior collapse. | Sachit Menon, David M. Blei, Carl Vondrick |
| 2022 | Multistate analysis with infinite mixtures of Markov chains. | Lucas Maystre, Tiffany Wu, Roberto Sanchis-Ojeda, Tony Jebara |
| 2022 | Case-based off-policy evaluation using prototype learning. | Anton Matsson, Fredrik D. Johansson |
| 2022 | A causal bandit approach to learning good atomic interventions in presence of unobserved confounders. | Aurghya Maiti, Vineet Nair, Gaurav Sinha |
| 2022 | Perturbation type categorization for multiple adversarial perturbation robustness. | Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song |
| 2022 | Low-precision arithmetic for fast Gaussian processes. | Wesley J. Maddox, Andres Potapczynski, Andrew Gordon Wilson |
| 2022 | Data sampling affects the complexity of online SGD over dependent data. | Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang |