Papers
Distributed and Provably Good Seedings for k-Means in Constant Rounds
Olivier Bachem, Mario Lucic, Andreas Krause
Distributed Batch Gaussian Process Optimization
Erik A. Daxberger, Bryan Kian Hsiang Low
Distributed Mean Estimation with Limited Communication
Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar et al.
Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition
Zeyuan Allen-Zhu, Yuanzhi Li
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization
Qi Lei, Ian En-Hsu Yen, Chao-yuan Wu et al.
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
Yingzhen Li, Yarin Gal
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization
Bo Liu, Xiao-Tong Yuan, Lezi Wang et al.
Dual Supervised Learning
Yingce Xia, Tao Qin, Wei Chen et al.
Dueling Bandits with Weak Regret
Bangrui Chen, Peter I. Frazier
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