Papers
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri et al.
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning
Yali Du, Lei Han, Meng Fang et al.
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
Chenwei DING, Mingming Gong, Kun Zhang et al.
Likelihood Ratios for Out-of-Distribution Detection
Jie Ren, Peter J. Liu, Emily Fertig et al.
Limitations of Lazy Training of Two-layers Neural Network
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz et al.
Limitations of the empirical Fisher approximation for natural gradient descent
Frederik Kunstner, Philipp Hennig, Lukas Balles
Limiting Extrapolation in Linear Approximate Value Iteration
Andrea Zanette, Alessandro Lazaric, Mykel J Kochenderfer et al.
Limits of Private Learning with Access to Public Data
Noga Alon, Raef Bassily, Shay Moran
Linear Stochastic Bandits Under Safety Constraints
Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
List-decodable Linear Regression
Sushrut Karmalkar, Adam Klivans, Pravesh Kothari
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition
Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang et al.
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning
Gregory Farquhar, Shimon Whiteson, Jakob Foerster
Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
Lin Chen, Hossein Esfandiari, Gang Fu et al.
Localized Structured Prediction
Carlo Ciliberto, Francis Bach, Alessandro Rudi
Locally Private Gaussian Estimation
Matthew Joseph, Janardhan Kulkarni, Jieming Mao et al.
Locally Private Learning without Interaction Requires Separation
Amit Daniely, Vitaly Feldman
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi et al.
Logarithmic Regret for Online Control
Naman Agarwal, Elad Hazan, Karan Singh
Lookahead Optimizer: k steps forward, 1 step back
Michael Zhang, James Lucas, Jimmy Ba et al.
Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees
Alix LHERITIER, Frederic Cazals
Lower Bounds on Adversarial Robustness from Optimal Transport
Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal
Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing
Jonas W Mueller, Vasilis Syrgkanis, Matt Taddy
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
Vasilis Syrgkanis, Victor Lei, Miruna Oprescu et al.
Machine Teaching of Active Sequential Learners
Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee et al.
MaCow: Masked Convolutional Generative Flow
Xuezhe Ma, Xiang Kong, Shanghang Zhang et al.