Papers
The Importance of Communities for Learning to Influence
Eric Balkanski, Nicole Immorlica, Yaron Singer
Predicting User Activity Level In Point Processes With Mass Transport Equation
Yichen Wang, Xiaojing Ye, Hongyuan Zha et al.
Parameter-Free Online Learning via Model Selection
Dylan J Foster, Satyen Kale, Mehryar Mohri et al.
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
Shixiang (Shane) Gu, Timothy Lillicrap, Richard E Turner et al.
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
Yuting Wei, Fanny Yang, Martin J. Wainwright
Recursive Sampling for the Nystrom Method
Cameron Musco, Christopher Musco
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Urs Köster, Tristan Webb, Xin Wang et al.
Translation Synchronization via Truncated Least Squares
Xiangru Huang, Zhenxiao Liang, Chandrajit Bajaj et al.
Adaptive Active Hypothesis Testing under Limited Information
Fabio Cecchi, Nidhi Hegde
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell
Imagination-Augmented Agents for Deep Reinforcement Learning
Sébastien Racanière, Theophane Weber, David Reichert et al.
Towards Generalization and Simplicity in Continuous Control
Aravind Rajeswaran, Kendall Lowrey, Emanuel V. Todorov et al.
Certified Defenses for Data Poisoning Attacks
Jacob Steinhardt, Pang Wei W Koh, Percy Liang
GP CaKe: Effective brain connectivity with causal kernels
Luca Ambrogioni, Max Hinne, Marcel Van Gerven et al.
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Siddharth N, Brooks Paige, Jan-Willem van de Meent et al.
On Blackbox Backpropagation and Jacobian Sensing
Krzysztof M Choromanski, Vikas Sindhwani
Learning a Multi-View Stereo Machine
Abhishek Kar, Christian Häne, Jitendra Malik
Scalable Demand-Aware Recommendation
Jinfeng Yi, Cho-Jui Hsieh, Kush R Varshney et al.
Optimized Pre-Processing for Discrimination Prevention
Flavio Calmon, Dennis Wei, Bhanukiran Vinzamuri et al.
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
Jeffrey Regier, Michael I Jordan, Jon McAuliffe
Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces
Daniel Milstein, Jason Pacheco, Leigh Hochberg et al.
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search
Mohammad Ali Bashiri, Xinhua Zhang
Bandits Dueling on Partially Ordered Sets
Julien Audiffren, Liva Ralaivola