Papers
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs
Vikash K Mansinghka, Tejas D Kulkarni, Yura N Perov et al.
Mid-level Visual Element Discovery as Discriminative Mode Seeking
Carl Doersch, Abhinav Gupta, Alexei A Efros
Bayesian entropy estimation for binary spike train data using parametric prior knowledge
Evan W Archer, ll Memming Park, Jonathan W Pillow
Learning Kernels Using Local Rademacher Complexity
Corinna Cortes, Marius Kloft, Mehryar Mohri
A simple example of Dirichlet process mixture inconsistency for the number of components
Jeffrey W Miller, Matthew T Harrison
Deep Neural Networks for Object Detection
Christian Szegedy, Alexander Toshev, Dumitru Erhan
Mixed Optimization for Smooth Functions
Mehrdad Mahdavi, Lijun Zhang, Rong Jin
Adaptive Step-Size for Policy Gradient Methods
Matteo Pirotta, Marcello Restelli, Luca Bascetta
Lexical and Hierarchical Topic Regression
Viet-An Nguyen, Jordan L Ying, Philip Resnik
Approximate inference in latent Gaussian-Markov models from continuous time observations
Botond Cseke, Manfred Opper, Guido Sanguinetti
Adaptive Submodular Maximization in Bandit Setting
Victor Gabillon, Branislav Kveton, Zheng Wen et al.
Noise-Enhanced Associative Memories
Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi et al.
First-order Decomposition Trees
Nima Taghipour, Jesse Davis, Hendrik Blockeel
Using multiple samples to learn mixture models
Jason Lee, Ran Gilad-Bachrach, Rich Caruana
Multi-Task Bayesian Optimization
Kevin Swersky, Jasper Snoek, Ryan P. Adams
Firing rate predictions in optimal balanced networks
David G Barrett, Sophie Denève, Christian K. Machens
Beyond Pairwise: Provably Fast Algorithms for Approximate k-Way Similarity Search
Anshumali Shrivastava, Ping Li
Optimization, Learning, and Games with Predictable Sequences
Sasha Rakhlin, Karthik Sridharan
Provable Subspace Clustering: When LRR meets SSC
Yu-Xiang Wang, Huan Xu, Chenlei Leng
Robust Data-Driven Dynamic Programming
Grani Adiwena Hanasusanto, Daniel Huhn
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
Po-Ling Loh, Martin J. Wainwright
Spike train entropy-rate estimation using hierarchical Dirichlet process priors
Karin C Knudson, Jonathan W Pillow
Learning Adaptive Value of Information for Structured Prediction
David J Weiss, Ben Taskar
k-Prototype Learning for 3D Rigid Structures
Hu Ding, Ronald Berezney, Jinhui Xu
Probabilistic Principal Geodesic Analysis
Miaomiao Zhang, Tom Fletcher