Papers
A Comparative Framework for Preconditioned Lasso Algorithms
Fabian L. Wauthier, Nebojsa Jojic, Michael I Jordan
Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths
Stefan Mathe, Cristian Sminchisescu
Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization
Nataliya Shapovalova, Michalis Raptis, Leonid Sigal et al.
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion
Nguyen Viet Cuong, Wee Sun Lee, Nan Ye et al.
Actor-Critic Algorithms for Risk-Sensitive MDPs
Prashanth L.A., Mohammad Ghavamzadeh
Adaptive Anonymity via $b$-Matching
Krzysztof M Choromanski, Tony Jebara, Kui Tang
Adaptive dropout for training deep neural networks
Jimmy Ba, Brendan Frey
Adaptive Market Making via Online Learning
Jacob Abernethy, Satyen Kale
Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising
Forest Agostinelli, Michael R Anderson, Honglak Lee
Adaptive Step-Size for Policy Gradient Methods
Matteo Pirotta, Marcello Restelli, Luca Bascetta
Adaptive Submodular Maximization in Bandit Setting
Victor Gabillon, Branislav Kveton, Zheng Wen et al.
Adaptivity to Local Smoothness and Dimension in Kernel Regression
Samory Kpotufe, Vikas Garg
A Deep Architecture for Matching Short Texts
Zhengdong Lu, Hang Li
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data
Jasper Snoek, Richard Zemel, Ryan P. Adams
A Gang of Bandits
Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella
Aggregating Optimistic Planning Trees for Solving Markov Decision Processes
Gunnar Kedenburg, Raphael Fonteneau, Remi Munos
A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles
Jinwoo Shin, Andrew E Gelfand, Misha Chertkov
A Kernel Test for Three-Variable Interactions
Dino Sejdinovic, Arthur Gretton, Wicher Bergsma
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables
Jing Xiang, Seyoung Kim
A Latent Source Model for Nonparametric Time Series Classification
George H Chen, Stanislav Nikolov, Devavrat Shah
A memory frontier for complex synapses
Subhaneil Lahiri, Surya Ganguli
A message-passing algorithm for multi-agent trajectory planning
José Bento, Nate Derbinsky, Javier Alonso-Mora et al.
A multi-agent control framework for co-adaptation in brain-computer interfaces
Josh S Merel, Roy Fox, Tony Jebara et al.
Analyzing Hogwild Parallel Gaussian Gibbs Sampling
Matthew J Johnson, James Saunderson, Alan Willsky
Analyzing the Harmonic Structure in Graph-Based Learning
Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang