Papers
8,340 papers found
A Clockwork RNN
Jan Koutnik, Klaus Greff, Faustino Gomez et al.
A Compilation Target for Probabilistic Programming Languages
Brooks Paige, Frank Wood
A Consistent Histogram Estimator for Exchangeable Graph Models
Stanley Chan, Edoardo Airoldi
A Convergence Rate Analysis for LogitBoost, MART and Their Variant
Peng Sun, Tong Zhang, Jie Zhou
Active Detection via Adaptive Submodularity
Yuxin Chen, Hiroaki Shioi, Cesar Fuentes Montesinos et al.
Active Learning of Parameterized Skills
Bruno Da Silva, George Konidaris, Andrew Barto
Active Transfer Learning under Model Shift
Xuezhi Wang, Tzu-Kuo Huang, Jeff Schneider
Adaptive Monte Carlo via Bandit Allocation
James Neufeld, Andras Gyorgy, Csaba Szepesvari et al.
Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm
Jacob Steinhardt, Percy Liang
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.