Papers
938 papers found
Co-training for Policy Learning
Jialin Song, Ravi Lanka, Yisong Yue et al.
Countdown Regression: Sharp and Calibrated Survival Predictions
Anand Avati, Tony Duan, Sharon Zhou et al.
Cubic Regularization with Momentum for Nonconvex Optimization
Zhe Wang, Yi Zhou, Yingbin Liang et al.
Deep Mixture of Experts via Shallow Embedding
Xin Wang, Fisher Yu, Lisa Dunlap et al.
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem
Karen Ullrich, Rianne van den Berg, Marcus Brubaker et al.
Domain Generalization via Multidomain Discriminant Analysis
Shoubo Hu, Kun Zhang, Zhitang Chen et al.
Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests
Taoan Huang, Bohui Fang, Xiaohui Bei et al.
Efficient Multitask Feature and Relationship Learning
Han Zhao, Otilia Stretcu, Alexander J. Smola et al.
Efficient Neural Network Verification with Exactness Characterization
Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Sven Gowal et al.
Efficient Planning Under Uncertainty with Incremental Refinement
Juan Carlos Saborío, Joachim Hertzberg
Efficient Search-Based Weighted Model Integration
Zhe Zeng, Guy Van den Broeck
Embarrassingly Parallel MCMC using Deep Invertible Transformations
Diego Mesquita, Paul Blomstedt, Samuel Kaski
Empirical Mechanism Design: Designing Mechanisms from Data
Enrique Areyan Viqueira, Cyrus Cousins, Yasser Mohammad et al.
End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations
Gregory Gundersen, Bianca Dumitrascu, Jordan T. Ash et al.
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning
Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee
Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones
Adithya Raam Sankar, Prashant Doshi, Adam Goodie
Exact Sampling of Directed Acyclic Graphs from Modular Distributions
Topi Talvitie, Aleksis Vuoksenmaa, Mikko Koivisto
Exclusivity Graph Approach to Instrumental Inequalities
Davide Poderini, Rafael Chaves, Iris Agresti et al.
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
Tim Pearce, Russell Tsuchida, Mohamed Zaki et al.
Fake It Till You Make It: Learning-Compatible Performance Support
Jonathan Bragg, Emma Brunskill
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems
Yingzhen Yang, Jiahui Yu
Finding Minimal d-separators in Linear Time and Applications
Benito van der Zander, Maciej Liśkiewicz
Fisher-Bures Adversary Graph Convolutional Networks
Ke Sun, Piotr Koniusz, Zhen Wang
General Identifiability with Arbitrary Surrogate Experiments
Sanghack Lee, Juan D. Correa, Elias Bareinboim