Papers
Dynamic Word Embeddings
Robert Bamler, Stephan Mandt
Efficient Distributed Learning with Sparsity
Jialei Wang, Mladen Kolar, Nathan Srebro et al.
Efficient Nonmyopic Active Search
Shali Jiang, Gustavo Malkomes, Geoff Converse et al.
Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret
Alina Beygelzimer, Francesco Orabona, Chicheng Zhang
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi, Andrew Hellicar, Ashfaqur Rahman et al.
Efficient Regret Minimization in Non-Convex Games
Elad Hazan, Karan Singh, Cyril Zhang
Efficient softmax approximation for GPUs
Grave, Armand Joulin, Moustapha Cissé et al.
Emulating the Expert: Inverse Optimization through Online Learning
Andreas Bärmann, Sebastian Pokutta, Oskar Schneider
End-to-End Differentiable Adversarial Imitation Learning
Nir Baram, Oron Anschel, Itai Caspi et al.
End-to-End Learning for Structured Prediction Energy Networks
David Belanger, Bishan Yang, Andrew McCallum
Enumerating Distinct Decision Trees
Salvatore Ruggieri
Equivariance Through Parameter-Sharing
Siamak Ravanbakhsh, Jeff Schneider, Barnabás Póczos
Estimating individual treatment effect: generalization bounds and algorithms
Uri Shalit, Fredrik D. Johansson, David Sontag
Estimating the unseen from multiple populations
Aditi Raghunathan, Gregory Valiant, James Zou
Evaluating Bayesian Models with Posterior Dispersion Indices
Alp Kucukelbir, Yixin Wang, David M. Blei
Evaluating the Variance of Likelihood-Ratio Gradient Estimators
Seiya Tokui, Issei Sato
Exact Inference for Integer Latent-Variable Models
Kevin Winner, Debora Sujono, Dan Sheldon
Exact MAP Inference by Avoiding Fractional Vertices
Erik M. Lindgren, Alexandros G. Dimakis, Adam Klivans
Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms
Jialei Wang, Lin Xiao
Failures of Gradient-Based Deep Learning
Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah
Fairness in Reinforcement Learning
Shahin Jabbari, Matthew Joseph, Michael Kearns et al.
Fake News Mitigation via Point Process Based Intervention
Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye et al.
Fast Bayesian Intensity Estimation for the Permanental Process
Christian J. Walder, Adrian N. Bishop
Faster Greedy MAP Inference for Determinantal Point Processes
Insu Han, Prabhanjan Kambadur, Kyoungsoo Park et al.
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation
Zeyuan Allen-Zhu, Yuanzhi Li