Papers
4,122 papers found
Fast SVM Training Using Approximate Extreme Points
Manu Nandan, Pramod P. Khargonekar, Sachin S. Talathi
Follow the Leader If You Can, Hedge If You Must
Steven de Rooij, Tim van Erven, Peter D. Grünwald et al.
Gibbs Max-margin Topic Models with Data Augmentation
Jun Zhu, Ning Chen, Hugh Perkins et al.
Graph Estimation From Multi-Attribute Data
Mladen Kolar, Han Liu, Eric P. Xing
Ground Metric Learning
Marco Cuturi, David Avis
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models
Majid Janzamin, Animashree Anandkumar
High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation
Po-Ling Loh, Peter Bühlmann
Hitting and Commute Times in Large Random Neighborhood Graphs
Ulrike von Luxburg, Agnes Radl, Matthias Hein
Improving Markov Network Structure Learning Using Decision Trees
Daniel Lowd, Jesse Davis
Improving Prediction from Dirichlet Process Mixtures via Enrichment
Sara Wade, David B. Dunson, Sonia Petrone et al.
Inconsistency of Pitman-Yor Process Mixtures for the Number of Components
Jeffrey W. Miller, Matthew T. Harrison
Information Theoretical Estimators Toolbox
Zoltán Szabó
Iteration Complexity of Feasible Descent Methods for Convex Optimization
Po-Wei Wang, Chih-Jen Lin
Learning Graphical Models With Hubs
Kean Ming Tan, Palma London, Karthik Mohan et al.
LIBOL: A Library for Online Learning Algorithms
Steven C.H. Hoi, Jialei Wang, Peilin Zhao
Link Prediction in Graphs with Autoregressive Features
Emile Richard, Stéphane Gaïffas, Nicolas Vayatis
Locally Adaptive Factor Processes for Multivariate Time Series
Daniele Durante, Bruno Scarpa, David B. Dunson
Manopt, a Matlab Toolbox for Optimization on Manifolds
Nicolas Boumal, Bamdev Mishra, P.-A. Absil et al.
Matrix Completion with the Trace Norm: Learning, Bounding, and Transducing
Ohad Shamir, Shai Shalev-Shwartz
Multimodal Learning with Deep Boltzmann Machines
Nitish Srivastava, Ruslan Salakhutdinov
Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies
Kristof Van Moffaert, Ann Nowé
Natural Evolution Strategies
Daan Wierstra, Tom Schaul, Tobias Glasmachers et al.
New Learning Methods for Supervised and Unsupervised Preference Aggregation
Maksims N. Volkovs, Richard S. Zemel
New Results for Random Walk Learning
Jeffrey C. Jackson, Karl Wimmer