| 2020 | Optimizing Millions of Hyperparameters by Implicit Differentiation. | Jonathan Lorraine, Paul Vicol, David Duvenaud |
| 2020 | Scalable Gradients for Stochastic Differential Equations. | Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud |
| 2020 | High Dimensional Robust Sparse Regression. | Liu Liu, Yanyao Shen, Tianyang Li, Constantine Caramanis |
| 2020 | Competing Bandits in Matching Markets. | Lydia T. Liu, Horia Mania, Michael I. Jordan |
| 2020 | A Double Residual Compression Algorithm for Efficient Distributed Learning. | Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan |
| 2020 | Online Learning Using Only Peer Prediction. | Yang Liu, David P. Helmbold |
| 2020 | Understanding Generalization in Deep Learning via Tensor Methods. | Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang |
| 2020 | Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks. | Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak |
| 2020 | More Powerful Selective Kernel Tests for Feature Selection. | Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira |
| 2020 | Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning. | Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau |
| 2020 | On the Convergence of SARAH and Beyond. | Bingcong Li, Meng Ma, Georgios B. Giannakis |
| 2020 | Robust Importance Weighting for Covariate Shift. | Fengpei Li, Henry Lam, Siddharth Prusty |
| 2020 | Regularization via Structural Label Smoothing. | Weizhi Li, Gautam Dasarathy, Visar Berisha |
| 2020 | Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. | Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi |
| 2020 | Censored Quantile Regression Forest. | Alexander Hanbo Li, Jelena Bradic |
| 2020 | Automatic Differentiation of Sketched Regression. | Hang Liao, Barak A. Pearlmutter, Vamsi K. Potluru, David P. Woodruff |
| 2020 | Sketching Transformed Matrices with Applications to Natural Language Processing. | Yingyu Liang, Zhao Song, Mengdi Wang, Lin Yang, Xin Yang |
| 2020 | A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization. | Zhize Li, Jian Li |
| 2020 | Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models. | Benjamin J. Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker, Rich Caruana |
| 2020 | The Implicit Regularization of Ordinary Least Squares Ensembles. | Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk |
| 2020 | Thresholding Graph Bandits with GrAPL. | Daniel LeJeune, Gautam Dasarathy, Richard G. Baraniuk |
| 2020 | Contextual Constrained Learning for Dose-Finding Clinical Trials. | Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar |
| 2020 | Convergence Rates of Smooth Message Passing with Rounding in Entropy-Regularized MAP Inference. | Jonathan N. Lee, Aldo Pacchiano, Michael I. Jordan |
| 2020 | Prior-aware Composition Inference for Spectral Topic Models. | Moontae Lee, David Bindel, David Mimno |
| 2020 | Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses. | Fabien Lauer |