Papers
Evolved Policy Gradients
Rein Houthooft, Yuhua Chen, Phillip Isola et al.
Exact natural gradient in deep linear networks and its application to the nonlinear case
Alberto Bernacchia, Mate Lengyel, Guillaume Hennequin
Ex ante coordination and collusion in zero-sum multi-player extensive-form games
Gabriele Farina, Andrea Celli, Nicola Gatti et al.
Expanding Holographic Embeddings for Knowledge Completion
Yexiang Xue, Yang Yuan, Zhitian Xu et al.
Experimental Design for Cost-Aware Learning of Causal Graphs
Erik Lindgren, Murat Kocaoglu, Alexandros G Dimakis et al.
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
Wenbo Guo, Sui Huang, Yunzhe Tao et al.
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Amit Dhurandhar, Pin-Yu Chen, Ronny Luss et al.
Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression
Neha Gupta, Aaron Sidford
Exploration in Structured Reinforcement Learning
Jungseul Ok, Alexandre Proutiere, Damianos Tranos
Exponentially Weighted Imitation Learning for Batched Historical Data
Qing Wang, Jiechao Xiong, Lei Han et al.
Exponentiated Strongly Rayleigh Distributions
Zelda E. Mariet, Suvrit Sra, Stefanie Jegelka
Extracting Relationships by Multi-Domain Matching
Yitong Li, michael Murias, geraldine Dawson et al.
Factored Bandits
Julian Zimmert, Yevgeny Seldin
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
Hoda Heidari, Claudio Ferrari, Krishna Gummadi et al.
Fairness Through Computationally-Bounded Awareness
Michael Kim, Omer Reingold, Guy Rothblum
Faithful Inversion of Generative Models for Effective Amortized Inference
Stefan Webb, Adam Golinski, Rob Zinkov et al.
Fast and Effective Robustness Certification
Gagandeep Singh, Timon Gehr, Matthew Mirman et al.
Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis
Thomas George, César Laurent, Xavier Bouthillier et al.
Fast deep reinforcement learning using online adjustments from the past
Steven Hansen, Alexander Pritzel, Pablo Sprechmann et al.
Faster Neural Networks Straight from JPEG
Lionel Gueguen, Alex Sergeev, Ben Kadlec et al.
Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization
Xiaoxuan Zhang, Mingrui Liu, Xun Zhou et al.
Fast Estimation of Causal Interactions using Wold Processes
Flavio Figueiredo, Guilherme Resende Borges, Pedro O.S. Vaz de Melo et al.
Fast greedy algorithms for dictionary selection with generalized sparsity constraints
Kaito Fujii, Tasuku Soma
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity
Laming Chen, Guoxin Zhang, Eric Zhou
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
Aditya Kusupati, Manish Singh, Kush Bhatia et al.