Papers
8,340 papers found
Entropy-Based Concentration Inequalities for Dependent Variables
Liva Ralaivola, Massih-Reza Amini
Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees
Mathieu Serrurier, Henri Prade
Exponential Integration for Hamiltonian Monte Carlo
Wei-Lun Chao, Justin Solomon, Dominik Michels et al.
Faster cover trees
Mike Izbicki, Christian Shelton
Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets
Dan Garber, Elad Hazan
Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods
Seth Flaxman, Andrew Wilson, Daniel Neill et al.
Feature-Budgeted Random Forest
Feng Nan, Joseph Wang, Venkatesh Saligrama
Fictitious Self-Play in Extensive-Form Games
Johannes Heinrich, Marc Lanctot, David Silver
Finding Galaxies in the Shadows of Quasars with Gaussian Processes
Roman Garnett, Shirley Ho, Jeff Schneider
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis
Zhuang Ma, Yichao Lu, Dean Foster
Fixed-point algorithms for learning determinantal point processes
Zelda Mariet, Suvrit Sra
Following the Perturbed Leader for Online Structured Learning
Alon Cohen, Tamir Hazan
From Word Embeddings To Document Distances
Matt Kusner, Yu Sun, Nicholas Kolkin et al.
Functional Subspace Clustering with Application to Time Series
Mohammad Taha Bahadori, David Kale, Yingying Fan et al.
Gated Feedback Recurrent Neural Networks
Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho et al.
Generalization error bounds for learning to rank: Does the length of document lists matter?
Ambuj Tewari, Sougata Chaudhuri
Generative Moment Matching Networks
Yujia Li, Kevin Swersky, Rich Zemel
Geometric Conditions for Subspace-Sparse Recovery
Chong You, Rene Vidal
Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems
Christopher De Sa, Christopher Re, Kunle Olukotun
Gradient-based Hyperparameter Optimization through Reversible Learning
Dougal Maclaurin, David Duvenaud, Ryan Adams
Guaranteed Tensor Decomposition: A Moment Approach
Gongguo Tang, Parikshit Shah
Harmonic Exponential Families on Manifolds
Taco Cohen, Max Welling
Hashing for Distributed Data
Cong Leng, Jiaxiang Wu, Jian Cheng et al.
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
Xinran He, Theodoros Rekatsinas, James Foulds et al.
Hidden Markov Anomaly Detection
Nico Goernitz, Mikio Braun, Marius Kloft