| 2022 | Coresets for Data Discretization and Sine Wave Fitting. | Alaa Maalouf, Murad Tukan, Eric Price, Daniel M. Kane, Dan Feldman |
| 2022 | CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. | Ana Lucic, Maartje A. ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri |
| 2022 | Complex Momentum for Optimization in Games. | Jonathan P. Lorraine, David Acuna, Paul Vicol, David Duvenaud |
| 2022 | On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging. | Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan |
| 2022 | Deep Multi-Fidelity Active Learning of High-Dimensional Outputs. | Shibo Li, Zheng Wang, Robert M. Kirby, Shandian Zhe |
| 2022 | Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. | Chuanhao Li, Hongning Wang |
| 2022 | Grassmann Stein Variational Gradient Descent. | Xing Liu, Harrison Zhu, Jean-Francois Ton, George Wynne, Andrew B. Duncan |
| 2022 | Adaptive A/B Test on Networks with Cluster Structures. | Yang Liu, Yifan Zhou, Ping Li, Feifang Hu |
| 2022 | Structured Multi-task Learning for Molecular Property Prediction. | Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang |
| 2022 | CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models. | Jones Yirui Liu, Xinghao Qiao, Jessica Lam |
| 2022 | Entropy Regularized Optimal Transport Independence Criterion. | Lang Liu, Soumik Pal, Zad Harchaoui |
| 2022 | Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably. | Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao |
| 2022 | Strategic ranking. | Lydia T. Liu, Nikhil Garg, Christian Borgs |
| 2022 | Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks. | Yeshu Li, Zhan Shi, Xinhua Zhang, Brian D. Ziebart |
| 2022 | Gaussian Process Bandit Optimization with Few Batches. | Zihan Li, Jonathan Scarlett |
| 2022 | Safe Active Learning for Multi-Output Gaussian Processes. | Cen-You Li, Barbara Rakitsch, Christoph Zimmer |
| 2022 | Exploring Image Regions Not Well Encoded by an INN. | Zenan Ling, Fan Zhou, Meng Wei, Quanshi Zhang |
| 2022 | Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes. | Zhiyuan (Jerry) Lin, Raul Astudillo, Peter I. Frazier, Eytan Bakshy |
| 2022 | Two-way Sparse Network Inference for Count Data. | Sijia Li, Martn Lpez-Garca, Neil D. Lawrence, Luisa Cutillo |
| 2022 | Conditional Linear Regression for Heterogeneous Covariances. | Leda Liang, Brendan Juba |
| 2022 | A Cramr Distance perspective on Quantile Regression based Distributional Reinforcement Learning. | Alix Lheritier, Nicolas Bondoux |
| 2022 | Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation. | Benjamin Letham, Phillip Guan, Chase Tymms, Eytan Bakshy, Michael Shvartsman |
| 2022 | Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics. | Tam Le, Truyen Nguyen, Dinh Phung, Viet Anh Nguyen |
| 2022 | On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity. | Khang Le, Huy Nguyen, Khai Nguyen, Tung Pham, Nhat Ho |
| 2022 | Dropout as a Regularizer of Interaction Effects. | Benjamin J. Lengerich, Eric P. Xing, Rich Caruana |