Papers
A Deep and Tractable Density Estimator
Benigno Uria, Iain Murray, Hugo Larochelle
A Deep Semi-NMF Model for Learning Hidden Representations
George Trigeorgis, Konstantinos Bousmalis, Stefanos Zafeiriou et al.
A Discriminative Latent Variable Model for Online Clustering
Rajhans Samdani, Kai-Wei Chang, Dan Roth
A Divide-and-Conquer Solver for Kernel Support Vector Machines
Cho-Jui Hsieh, Si Si, Inderjit Dhillon
Admixture of Poisson MRFs: A Topic Model with Word Dependencies
David Inouye, Pradeep Ravikumar, Inderjit Dhillon
Affinity Weighted Embedding
Jason Weston, Ron Weiss, Hector Yee
Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
Dengyong Zhou, Qiang Liu, John Platt et al.
Agnostic Bayesian Learning of Ensembles
Alexandre Lacoste, Mario Marchand, François Laviolette et al.
A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models
Jie Wang, Qingyang Li, Sen Yang et al.
A Kernel Independence Test for Random Processes
Kacper Chwialkowski, Arthur Gretton
Alternating Minimization for Mixed Linear Regression
Xinyang Yi, Constantine Caramanis, Sujay Sanghavi
An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy
Gavin Taylor, Connor Geer, David Piekut
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
Ji Liu, Steve Wright, Christopher Re et al.
An Efficient Approach for Assessing Hyperparameter Importance
Frank Hutter, Holger Hoos, Kevin Leyton-Brown
A new Q(lambda) with interim forward view and Monte Carlo equivalence
Rich Sutton, Ashique Rupam Mahmood, Doina Precup et al.
An Information Geometry of Statistical Manifold Learning
Ke Sun, Stéphane Marchand-Maillet
Anomaly Ranking as Supervised Bipartite Ranking
Stephan Clémençon, Sylvain Robbiano
Anti-differentiating approximation algorithms:A case study with min-cuts, spectral, and flow
David Gleich, Michael Mahoney
A PAC-Bayesian bound for Lifelong Learning
Anastasia Pentina, Christoph Lampert
A Physics-Based Model Prior for Object-Oriented MDPs
Jonathan Scholz, Martin Levihn, Charles Isbell et al.
Approximate Policy Iteration Schemes: A Comparison
Bruno Scherrer
Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process
Issei Sato, Hiroshi Nakagawa
A reversible infinite HMM using normalised random measures
David Knowles, Zoubin Ghahramani, Konstantina Palla
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data
Jinfeng Yi, Lijun Zhang, Jun Wang et al.