Papers
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
Mean-Variance Analysis in Bayesian Optimization under Uncertainty
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Measure Transport with Kernel Stein Discrepancy
Matthew Fisher, Tui Nolan, Matthew Graham et al.
Meta-Learning Divergences for Variational Inference
Ruqi Zhang, Yingzhen Li, Christopher De Sa et al.
Meta Learning in the Continuous Time Limit
Ruitu Xu, Lin Chen, Amin Karbasi
Minimal enumeration of all possible total effects in a Markov equivalence class
Richard Guo, Emilija Perkovic
Minimax Estimation of Laplacian Constrained Precision Matrices
Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel Palomar
Minimax Model Learning
Cameron Voloshin, Nan Jiang, Yisong Yue
Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs
Alden Green, Sivaraman Balakrishnan, Ryan Tibshirani
Mirror Descent View for Neural Network Quantization
Thalaiyasingam Ajanthan, Kartik Gupta, Philip Torr et al.