Papers
Learning the Truth From Only One Side of the Story
Heinrich Jiang, Qijia Jiang, Aldo Pacchiano
Learning to Defend by Learning to Attack
Haoming Jiang, Zhehui Chen, Yuyang Shi et al.
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
Jiaqi Ma, Xinyang Yi, Weijing Tang et al.
Learning User Preferences in Non-Stationary Environments
Wasim Huleihel, Soumyabrata Pal, Ofer Shayevitz
Learning with Gradient Descent and Weakly Convex Losses
Dominic Richards, Mike Rabbat
Learning with Hyperspherical Uniformity
Weiyang Liu, Rongmei Lin, Zhen Liu et al.
Learning with risk-averse feedback under potentially heavy tails
Matthew Holland, El Mehdi Haress
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization
Vikas Garg, Adam Tauman Kalai, Katrina Ligett et al.
LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads
Hossein Shokri Ghadikolaei, Sebastian Stich, Martin Jaggi
Linearly Constrained Gaussian Processes with Boundary Conditions
Markus Lange-Hegermann
Linear Models are Robust Optimal Under Strategic Behavior
Wei Tang, Chien-Ju Ho, Yang Liu
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
Kartik Ahuja, Karthikeyan Shanmugam, Amit Dhurandhar
List Learning with Attribute Noise
Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba et al.
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Konstantinos Panousis, Sotirios Chatzis, Antonios Alexos et al.
Localizing Changes in High-Dimensional Regression Models
Alessandro Rinaldo, Daren Wang, Qin Wen et al.
Local SGD: Unified Theory and New Efficient Methods
Eduard Gorbunov, Filip Hanzely, Peter Richtarik
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency
Yuyang Deng, Mehrdad Mahdavi
Location Trace Privacy Under Conditional Priors
Casey Meehan, Kamalika Chaudhuri
Logical Team Q-learning: An approach towards factored policies in cooperative MARL
Lucas Cassano, Ali H. Sayed
Logistic Q-Learning
Joan Bas-Serrano, Sebastian Curi, Andreas Krause et al.
Longitudinal Variational Autoencoder
Siddharth Ramchandran, Gleb Tikhonov, Kalle Kujanpää et al.
Low-Rank Generalized Linear Bandit Problems
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
Matérn Gaussian Processes on Graphs
Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin et al.
Maximal Couplings of the Metropolis-Hastings Algorithm
Guanyang Wang, John O’Leary, Pierre Jacob
Maximizing Agreements for Ranking, Clustering and Hierarchical Clustering via MAX-CUT
Vaggos Chatziafratis, Mohammad Mahdian, Sara Ahmadian