Papers
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.
Max-Mahalanobis Linear Discriminant Analysis Networks
Tianyu Pang, Chao Du, Jun Zhu
Mean Field Multi-Agent Reinforcement Learning
Yaodong Yang, Rui Luo, Minne Li et al.
Measuring abstract reasoning in neural networks
David Barrett, Felix Hill, Adam Santoro et al.
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
Lu Jiang, Zhengyuan Zhou, Thomas Leung et al.
Message Passing Stein Variational Gradient Descent
Jingwei Zhuo, Chang Liu, Jiaxin Shi et al.
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
Ron Amit, Ron Meir
Minibatch Gibbs Sampling on Large Graphical Models
Chris De Sa, Vincent Chen, Wing Wong
Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models
Raj Agrawal, Caroline Uhler, Tamara Broderick
Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates
Xue Wang, Mingcheng Wei, Tao Yao
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
Amirali Aghazadeh, Ryan Spring, Daniel Lejeune et al.