Papers
Communication-Efficient Learning of Deep Networks from Decentralized Data
Brendan McMahan, Eider Moore, Daniel Ramage et al.
Comparison-Based Nearest Neighbor Search
Siavash Haghiri, Debarghya Ghoshdastidar, Ulrike von Luxburg
Complementary Sum Sampling for Likelihood Approximation in Large Scale Classification
Aleksandar Botev, Bowen Zheng, David Barber
Compressed Least Squares Regression revisited
Martin Slawski
Conditions beyond treewidth for tightness of higher-order LP relaxations
Mark Rowland, Aldo Pacchiano, Adrian Weller
Consistent and Efficient Nonparametric Different-Feature Selection
Satoshi Hara, Takayuki Katsuki, Hiroki Yanagisawa et al.
Contextual Bandits with Latent Confounders: An NMF Approach
Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu et al.
Convergence Rate of Stochastic k-means
Cheng Tang, Claire Monteleoni
ConvNets with Smooth Adaptive Activation Functions for Regression
Le Hou, Dimitris Samaras, Tahsin Kurc et al.
Co-Occurring Directions Sketching for Approximate Matrix Multiply
Youssef Mroueh, Etienne Marcheret, Vaibahava Goel
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC
Tianfan Fu, Zhihua Zhang
Data Driven Resource Allocation for Distributed Learning
Travis Dick, Mu Li, Venkata Krishna Pillutla et al.
Decentralized Collaborative Learning of Personalized Models over Networks
Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes
Feras Saad, Vikash Mansinghka
Discovering and Exploiting Additive Structure for Bayesian Optimization
Jacob Gardner, Chuan Guo, Kilian Weinberger et al.
Distance Covariance Analysis
Benjamin Cowley, Joao Semedo, Amin Zandvakili et al.
Distributed Adaptive Sampling for Kernel Matrix Approximation
Daniele Calandriello, Alessandro Lazaric, Michal Valko
Distribution of Gaussian Process Arc Lengths
Justin Bewsher, Alessandra Tosi, Michael Osborne et al.
Diverse Neural Network Learns True Target Functions
Bo Xie, Yingyu Liang, Le Song
DP-EM: Differentially Private Expectation Maximization
Mijung Park, James Foulds, Kamalika Choudhary et al.
Dynamic Collaborative Filtering With Compound Poisson Factorization
Ghassen Jerfel, Mehmet Basbug, Barbara Engelhardt
Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent
Pan Xu, Tingting Zhang, Quanquan Gu
Efficient Online Multiclass Prediction on Graphs via Surrogate Losses
Alexander Rakhlin, Karthik Sridharan
Efficient Rank Aggregation via Lehmer Codes
Pan Li, Arya Mazumdar, Olgica Milenkovic