| 2021 | CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices. | Valerii Likhosherstov, Jared Davis, Krzysztof Choromanski, Adrian Weller |
| 2021 | Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization. | Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu |
| 2021 | Accelerating Metropolis-Hastings with Lightweight Inference Compilation. | Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer |
| 2021 | One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements. | Xiaoyun Li, Ping Li |
| 2021 | PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming. | Alexander K. Lew, Monica Agrawal, David A. Sontag, Vikash Mansinghka |
| 2021 | Entropy Partial Transport with Tree Metrics: Theory and Practice. | Tam Le, Truyen Nguyen |
| 2021 | LassoNet: Neural Networks with Feature Sparsity. | Ismael Lemhadri, Feng Ruan, Robert Tibshirani |
| 2021 | Distribution Regression for Sequential Data. | Maud Lemercier, Cristopher Salvi, Theodoros Damoulas, Edwin V. Bonilla, Terry J. Lyons |
| 2021 | Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes. | Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang |
| 2021 | Flow-based Alignment Approaches for Probability Measures in Different Spaces. | Tam Le, Nhat Ho, Makoto Yamada |
| 2021 | SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. | Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar |
| 2021 | A Variational Information Bottleneck Approach to Multi-Omics Data Integration. | Changhee Lee, Mihaela van der Schaar |
| 2021 | Reinforcement Learning for Mean Field Games with Strategic Complementarities. | Ki-Yeob Lee, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai |
| 2021 | Online Model Selection for Reinforcement Learning with Function Approximation. | Jonathan N. Lee, Aldo Pacchiano, Vidya Muthukumar, Weihao Kong, Emma Brunskill |
| 2021 | Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery. | Mike Laszkiewicz, Asja Fischer, Johannes Lederer |
| 2021 | Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances. | Hunter Lang, Aravind Reddy, David A. Sontag, Aravindan Vijayaraghavan |
| 2021 | Linearly Constrained Gaussian Processes with Boundary Conditions. | Markus Lange-Hegermann |
| 2021 | Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers. | Alex Lamb, Anirudh Goyal, Agnieszka Slowik, Michael Mozer, Philippe Beaudoin, Yoshua Bengio |
| 2021 | All of the Fairness for Edge Prediction with Optimal Transport. | Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron |
| 2021 | Efficient Computation and Analysis of Distributional Shapley Values. | Yongchan Kwon, Manuel A. Rivas, James Zou |
| 2021 | On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression. | Jeongyeol Kwon, Nhat Ho, Constantine Caramanis |
| 2021 | Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting. | Ilja Kuzborskij, Claire Vernade, Andrs Gyrgy, Csaba Szepesvri |
| 2021 | Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent. | Frederik Kunstner, Raunak Kumar, Mark Schmidt |
| 2021 | Context-Specific Likelihood Weighting. | Nitesh Kumar, Ondrej Kuzelka |
| 2021 | Quick Streaming Algorithms for Maximization of Monotone Submodular Functions in Linear Time. | Alan Kuhnle |