Papers
Distilling Policy Distillation
Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero et al.
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning
Bo Liu, Xiao-Tong Yuan, Lezi Wang et al.
Distributed Maximization of "Submodular plus Diversity" Functions for Multi-label Feature Selection on Huge Datasets
Mehrdad Ghadiri, Mark Schmidt
Distributionally Robust Submodular Maximization
Matthew Staib, Bryan Wilder, Stefanie Jegelka
Distributional reinforcement learning with linear function approximation
Marc G. Bellemare, Nicolas Le Roux, Pablo Samuel Castro et al.
Does data interpolation contradict statistical optimality?
Mikhail Belkin, Alexander Rakhlin, Alexandre B. Tsybakov
Domain-Size Aware Markov Logic Networks
Happy Mittal, Ayush Bhardwaj, Vibhav Gogate et al.
Doubly Semi-Implicit Variational Inference
Dmitry Molchanov, Valery Kharitonov, Artem Sobolev et al.
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function
Wojciech Tarnowski, Piotr Warchoł, Stanisław Jastrzȩbski et al.
Efficient Bayesian Experimental Design for Implicit Models
Steven Kleinegesse, Michael U. Gutmann
Efficient Bayesian Optimization for Target Vector Estimation
Anders Kirk Uhrenholt, Bjøern Sand Jensen
Efficient Bayes Risk Estimation for Cost-Sensitive Classification
Daniel Andrade, Yuzuru Okajima
Efficient Greedy Coordinate Descent for Composite Problems
Sai Praneeth Karimireddy, Anastasia Koloskova, Sebastian U. Stich et al.
Efficient Inference in Multi-task Cox Process Models
Virginia Aglietti, Theodoros Damoulas, Edwin V. Bonilla
Efficient Linear Bandits through Matrix Sketching
Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi
Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods
Aryan Mokhtari, Asuman Ozdaglar, Ali Jadbabaie
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data
Victor Veitch, Morgane Austern, Wenda Zhou et al.
Error bounds for sparse classifiers in high-dimensions
Antoine Dedieu
Estimating Network Structure from Incomplete Event Data
Benjamin Mark, Garvesh Raskutti, Rebecca Willett
Estimation of Non-Normalized Mixture Models
Takeru Matsuda, Aapo Hyvärinen
Evaluating model calibration in classification
Juozas Vaicenavicius, David Widmann, Carl Andersson et al.
Exploring $k$ out of Top $ρ$ Fraction of Arms in Stochastic Bandits
Wenbo Ren, Jia Liu, Ness B. Shroff
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks
Yue Yu, Jiaxiang Wu, Junzhou Huang
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization
Jonas Kohler, Hadi Daneshmand, Aurelien Lucchi et al.
Exponential Weights on the Hypercube in Polynomial Time
Sudeep Raja Putta, Abhishek Shetty