Papers
Learning Memory Access Patterns
Milad Hashemi, Kevin Swersky, Jamie Smith et al.
Learning One Convolutional Layer with Overlapping Patches
Surbhi Goel, Adam Klivans, Raghu Meka
Learning Policy Representations in Multiagent Systems
Aditya Grover, Maruan Al-Shedivat, Jayesh Gupta et al.
Learning Registered Point Processes from Idiosyncratic Observations
Hongteng Xu, Lawrence Carin, Hongyuan Zha
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas et al.
Learning Semantic Representations for Unsupervised Domain Adaptation
Shaoan Xie, Zibin Zheng, Liang Chen et al.
Learning Steady-States of Iterative Algorithms over Graphs
Hanjun Dai, Zornitsa Kozareva, Bo Dai et al.
Learning the Reward Function for a Misspecified Model
Erik Talvitie
Learning to Act in Decentralized Partially Observable MDPs
Jilles Dibangoye, Olivier Buffet
Learning to Branch
Maria-Florina Balcan, Travis Dick, Tuomas Sandholm et al.
Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems
Eugenio Bargiacchi, Timothy Verstraeten, Diederik Roijers et al.
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
Jianbo Chen, Le Song, Martin Wainwright et al.
Learning to Explore via Meta-Policy Gradient
Tianbing Xu, Qiang Liu, Liang Zhao et al.
Learning to Optimize Combinatorial Functions
Nir Rosenfeld, Eric Balkanski, Amir Globerson et al.
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren, Wenyuan Zeng, Bin Yang et al.
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