| 2022 | System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy. | Hyun-Suk Lee |
| 2022 | On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds. | Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Hung Tran, Dinh Q. Phung |
| 2022 | Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms. | Romain Laroche, Remi Tachet des Combes |
| 2022 | On the Generalization of Representations in Reinforcement Learning. | Charline Le Lan, Stephen Tu, Adam Oberman, Rishabh Agarwal, Marc G. Bellemare |
| 2022 | Model-free Policy Learning with Reward Gradients. | Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi, Rupam Mahmood |
| 2022 | Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems. | Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Animashree Anandkumar |
| 2022 | Generalised GPLVM with Stochastic Variational Inference. | Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence |
| 2022 | Variational Marginal Particle Filters. | Jinlin Lai, Justin Domke, Daniel Sheldon |
| 2022 | A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits. | Pierre Laforgue, Giulia Clerici, Nicol Cesa-Bianchi, Ran Gilad-Bachrach |
| 2022 | Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning. | Yongchan Kwon, James Zou |
| 2022 | Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations. | Oskar Kviman, Harald Melin, Hazal Koptagel, Victor Elvira, Jens Lagergren |
| 2022 | On the Value of Prior in Online Learning to Rank. | Branislav Kveton, Ofer Meshi, Masrour Zoghi, Zhen Qin |
| 2022 | A Witness Two-Sample Test. | Jonas M. Kbler, Wittawat Jitkrittum, Bernhard Schlkopf, Krikamol Muandet |
| 2022 | Firebolt: Weak Supervision Under Weaker Assumptions. | Zhaobin Kuang, Chidubem G. Arachie, Bangyong Liang, Pradyumna Narayana, Giulia DeSalvo, Michael S. Quinn, Bert Huang, Geoffrey Downs, Yang Yang |
| 2022 | Being a Bit Frequentist Improves Bayesian Neural Networks. | Agustinus Kristiadi, Matthias Hein, Philipp Hennig |
| 2022 | Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations. | Nicholas Krmer, Jonathan Schmidt, Philipp Hennig |
| 2022 | Nuances in Margin Conditions Determine Gains in Active Learning. | Samory Kpotufe, Gan Yuan, Yunfan Zhao |
| 2022 | Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference. | Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani |
| 2022 | Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff. | Anna Korba, Franois Portier |
| 2022 | Privacy Amplification by Subsampling in Time Domain. | Tatsuki Koga, Casey Meehan, Kamalika Chaudhuri |
| 2022 | Pairwise Fairness for Ordinal Regression. | Matthus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell |
| 2022 | Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness. | Beomsu Kim, Junghoon Seo |
| 2022 | Variational Continual Proxy-Anchor for Deep Metric Learning. | Minyoung Kim, Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic |
| 2022 | Robust Deep Learning from Crowds with Belief Propagation. | Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok |
| 2022 | Federated Myopic Community Detection with One-shot Communication. | Chuyang Ke, Jean Honorio |