Papers
Linear Approximation to ADMM for MAP inference
Sholeh Forouzan, Alexander Ihler
Guided Monte Carlo Tree Search for Planning in Learned Environments
Jelle Van Eyck, Jan Ramon, Fabian Guiza et al.
Stability of Multi-Task Kernel Regression Algorithms
Julien Audiffren, Hachem Kadri
How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal
Jacob Abernethy, Peter L Bartlett, Rafael Frongillo et al.
Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths
Stefan Mathe, Cristian Sminchisescu
Aggregating Optimistic Planning Trees for Solving Markov Decision Processes
Gunnar Kedenburg, Raphael Fonteneau, Remi Munos
Learning from Limited Demonstrations
Beomjoon Kim, Amir-massoud Farahmand, Joelle Pineau et al.
Learning to Prune in Metric and Non-Metric Spaces
Leonid Boytsov, Bilegsaikhan Naidan
Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards
Thomas Bonald, Alexandre Proutiere
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion
Nguyen Viet Cuong, Wee Sun Lee, Nan Ye et al.
Blind Calibration in Compressed Sensing using Message Passing Algorithms
Christophe Schulke, Francesco Caltagirone, Florent Krzakala et al.
Annealing between distributions by averaging moments
Roger B Grosse, Chris J Maddison, Ruslan Salakhutdinov
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.