Papers
Learning to search with MCTSnets
Arthur Guez, Theophane Weber, Ioannis Antonoglou et al.
Learning to Speed Up Structured Output Prediction
Xingyuan Pan, Vivek Srikumar
Learning unknown ODE models with Gaussian processes
Markus Heinonen, Cagatay Yildiz, Henrik Mannerström et al.
Learning with Abandonment
Sven Schmit, Ramesh Johari
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator
Stephen Tu, Benjamin Recht
Let’s be Honest: An Optimal No-Regret Framework for Zero-Sum Games
Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin et al.
Level-Set Methods for Finite-Sum Constrained Convex Optimization
Qihang Lin, Runchao Ma, Tianbao Yang
Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski $p$-Norms
Charlie Dickens, Graham Cormode, David Woodruff
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
Shuai Zheng, James Tin-Yau Kwok
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design
Ahmed Alaa, Mihaela Schaar
Linear Spectral Estimators and an Application to Phase Retrieval
Ramina Ghods, Andrew Lan, Tom Goldstein et al.
Lipschitz Continuity in Model-based Reinforcement Learning
Kavosh Asadi, Dipendra Misra, Michael Littman
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration
Clarice Poon, Jingwei Liang, Carola Schoenlieb
Local Density Estimation in High Dimensions
Xian Wu, Moses Charikar, Vishnu Natchu
Locally Private Hypothesis Testing
Or Sheffet
Local Private Hypothesis Testing: Chi-Square Tests
Marco Gaboardi, Ryan Rogers
Loss Decomposition for Fast Learning in Large Output Spaces
Ian En-Hsu Yen, Satyen Kale, Felix Yu et al.
Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees
Adrien Taylor, Bryan Van Scoy, Laurent Lessard
Machine Theory of Mind
Neil Rabinowitz, Frank Perbet, Francis Song et al.
MAGAN: Aligning Biological Manifolds
Matthew Amodio, Smita Krishnaswamy
Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits
Zeyuan Allen-Zhu, Sebastien Bubeck, Yuanzhi Li
Massively Parallel Algorithms and Hardness for Single-Linkage Clustering under $\ell_p$ Distances
Grigory Yaroslavtsev, Adithya Vadapalli
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order
Vladimir Braverman, Stephen Chestnut, Robert Krauthgamer et al.