| 2022 | Nonparametric exponential family graph embeddings for multiple representation learning. | Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa |
| 2022 | Local calibration: metrics and recalibration. | Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone |
| 2022 | Data poisoning attacks on off-policy policy evaluation methods. | Elita A. Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin, Himabindu Lakkaraju |
| 2022 | Efficient resource allocation with fairness constraints in restless multi-armed bandits. | Dexun Li, Pradeep Varakantham |
| 2022 | PathFlow: A normalizing flow generator that finds transition paths. | Tianyi Liu, Weihao Gao, Zhirui Wang, Chong Wang |
| 2022 | SASH: Efficient secure aggregation based on SHPRG for federated learning. | Zizhen Liu, Si Chen, Jing Ye, Junfeng Fan, Huawei Li, Xiaowei Li |
| 2022 | ℓ | Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo |
| 2022 | Dimension reduction for high-dimensional small counts with KL divergence. | Yurong Ling, Jing-Hao Xue |
| 2022 | Laplace approximated Gaussian process state-space models. | Jakob Lindinger, Barbara Rakitsch, Christoph Lippert |
| 2022 | PDQ-Net: Deep probabilistic dual quaternion network for absolute pose regression on SE(3). | Wenjie Li, Wasif Naeem, Jia Liu, Dequan Zheng, Wei Hao, Lijun Chen |
| 2022 | Solving structured hierarchical games using differential backward induction. | Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik |
| 2022 | AdaCat: Adaptive categorical discretization for autoregressive models. | Qiyang Li, Ajay Jain, Pieter Abbeel |
| 2022 | A label efficient two-sample test. | Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha |
| 2022 | Proportional allocation of indivisible resources under ordinal and uncertain preferences. | Zihao Li, Xiaohui Bei, Zhenzhen Yan |
| 2022 | Deep Dirichlet process mixture models. | Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia |
| 2022 | Recursive Monte Carlo and variational inference with auxiliary variables. | Alexander K. Lew, Marco F. Cusumano-Towner, Vikash K. Mansinghka |
| 2022 | Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation. | Harald Leisenberger, Franz Pernkopf, Christian Knoll |
| 2022 | Systematized event-aware learning for multi-object tracking. | Hyemin Lee, Daijin Kim |
| 2022 | Interpolating between sampling and variational inference with infinite stochastic mixtures. | Richard D. Lange, Ari S. Benjamin, Ralf M. Haefner, Xaq Pitkow |
| 2022 | Greedy relaxations of the sparsest permutation algorithm. | Wai-Yin Lam, Bryan Andrews, Joseph D. Ramsey |
| 2022 | Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift. | Ananya Kumar, Tengyu Ma, Percy Liang, Aditi Raghunathan |
| 2022 | Hitting times for continuous-time imprecise-Markov chains. | Thomas Krak |
| 2022 | Revisiting the general identifiability problem. | Yaroslav Kivva, Ehsan Mokhtarian, Jalal Etesami, Negar Kiyavash |
| 2022 | On the effectiveness of adversarial training against common corruptions. | Klim Kireev, Maksym Andriushchenko, Nicolas Flammarion |
| 2022 | Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning. | Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe |