Papers
4,025 papers found
Online Variational Inference for the Hierarchical Dirichlet Process
Chong Wang, John Paisley, David M. Blei
On NDCG Consistency of Listwise Ranking Methods
Pradeep Ravikumar, Ambuj Tewari, Eunho Yang
On the Estimation of $\alpha$-Divergences
Barnabas Poczos, Jeff Schneider
On Time Varying Undirected Graphs
Mladen Kolar, Eric P. Xing
Optimal and Robust Price Experimentation: Learning by Lottery
Christopher Dance, Onno Zoeter
Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources
Sue Ann Hong, Geoffrey Gordon
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
Joseph Gonzalez, Yucheng Low, Arthur Gretton et al.
Polytope samplers for inference in ill-posed inverse problems
Edoardo Airoldi, Bertrand Haas
Relational Learning with One Network: An Asymptotic Analysis
Rongjing Xiang, Jennifer Neville
Relative Entropy Inverse Reinforcement Learning
Abdeslam Boularias, Jens Kober, Jan Peters
Revisiting MAP Estimation, Message Passing and Perfect Graphs
James Foulds, Nicholas Navaroli, Padhraic Smyth et al.
Robust Bayesian Matrix Factorisation
Balaji Lakshminarayanan, Guillaume Bouchard, Cedric Archambeau
Semi-supervised Learning by Higher Order Regularization
Xueyuan Zhou, Mikhail Belkin
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities
Richard Socher, Andrew Maas, Christopher Manning
Spectral Clustering on a Budget
Ohad Shamir, Naftali Tishby
Spectral Dimensionality Reduction via Maximum Entropy
Neil Lawrence
Statistical Optimization of Non-Negative Matrix Factorization
Anoop Korattikara Balan, Levi Boyles, Max Welling et al.
Switch-Reset Models : Exact and Approximate Inference
Chris Bracegirdle, David Barber
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling
John Paisley, Chong Wang, David Blei
The Neural Autoregressive Distribution Estimator
Hugo Larochelle, Iain Murray
The Sample Complexity of Self-Verifying Bayesian Active Learning
Liu Yang, Steve Hanneke, Jaime Carbonell
Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm
Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
Ramesh Nallapati, Daniel McFarland, Christopher Manning
Two-Layer Multiple Kernel Learning
Jinfeng Zhuang, Ivor W. Tsang, Steven C.H. Hoi
Unsupervised Supervised Learning II: Margin-Based Classification without Labels
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon