Papers
Doubly-Competitive Distribution Estimation
Yi Hao, Alon Orlitsky
Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random
Xiaojie Wang, Rui Zhang, Yu Sun et al.
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures
Andrew Lawrence, Carl Henrik Ek, Neill Campbell
Dropout as a Structured Shrinkage Prior
Eric Nalisnick, Jose Miguel Hernandez-Lobato, Padhraic Smyth
Dual Entangled Polynomial Code: Three-Dimensional Coding for Distributed Matrix Multiplication
Pedro Soto, Jun Li, Xiaodi Fan
Dynamic Measurement Scheduling for Event Forecasting using Deep RL
Chun-Hao Chang, Mingjie Mai, Anna Goldenberg
Dynamic Weights in Multi-Objective Deep Reinforcement Learning
Axel Abels, Diederik Roijers, Tom Lenaerts et al.
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
Chao Ma, Sebastian Tschiatschek, Konstantina Palla et al.
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems
Geoffrey Roeder, Paul Grant, Andrew Phillips et al.
Efficient Dictionary Learning with Gradient Descent
Dar Gilboa, Sam Buchanan, John Wright
Efficient Full-Matrix Adaptive Regularization
Naman Agarwal, Brian Bullins, Xinyi Chen et al.
Efficient learning of smooth probability functions from Bernoulli tests with guarantees
Paul Rolland, Ali Kavis, Alexander Immer et al.
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan, Quoc Le
Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations
Quanming Yao, James Tin-Yau Kwok, Bo Han
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
Kate Rakelly, Aurick Zhou, Chelsea Finn et al.
Efficient optimization of loops and limits with randomized telescoping sums
Alex Beatson, Ryan P Adams
Efficient Training of BERT by Progressively Stacking
Linyuan Gong, Di He, Zhuohan Li et al.
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
Chaoqi Wang, Roger Grosse, Sanja Fidler et al.
ELF OpenGo: an analysis and open reimplementation of AlphaZero
Yuandong Tian, Jerry Ma, Qucheng Gong et al.
Emerging Convolutions for Generative Normalizing Flows
Emiel Hoogeboom, Rianne Van Den Berg, Max Welling
EMI: Exploration with Mutual Information
Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong et al.
Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models
Eldan Cohen, Christopher Beck
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
William Wilkinson, Michael Andersen, Joshua D. Reiss et al.