Papers
Probabilistic Analysis of Correctness of High-Level Robot Behavior with Sensor Error
Benjamin Johnson, Hadas Kress-Gazit
Probabilistic Joint Image Segmentation and Labeling
Adrian Ion, Joao Carreira, Cristian Sminchisescu
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations
Emin Orhan, Robert A. Jacobs
Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models
Sharon Goldwater, Thomas L. Griffiths, Mark Johnson
Projection onto A Nonnegative Max-Heap
Jun Liu, Liang Sun, Jieping Ye
Proximal Methods for Hierarchical Sparse Coding
Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski et al.
Pylon Model for Semantic Segmentation
Victor Lempitsky, Andrea Vedaldi, Andrew Zisserman
Quasi-Newton Methods for Markov Chain Monte Carlo
Yichuan Zhang, Charles A. Sutton
Query-Aware MCMC
Michael L. Wick, Andrew McCallum
Randomized Algorithms for Comparison-based Search
Dominique Tschopp, Suhas Diggavi, Payam Delgosha et al.
Ranking annotators for crowdsourced labeling tasks
Vikas C. Raykar, Shipeng Yu
Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound
Iasonas Kokkinos
Reconstructing Patterns of Information Diffusion from Incomplete Observations
Flavio Chierichetti, David Liben-nowell, Jon M. Kleinberg
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
Carsten Rother, Martin Kiefel, Lumin Zhang et al.
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach
Gilles Meyer, Silvère Bonnabel, Rodolphe Sepulchre
Regret Bounds for the Adaptive Control of Linear Quadratic Systems
Yasin Abbasi-Yadkori, Csaba Szepesvári
Regularized Laplacian Estimation and Fast Eigenvector Approximation
Patrick O. Perry, Michael W. Mahoney
Reinforcement Learning using Kernel-Based Stochastic Factorization
Andre Barreto, Doina Precup, Joelle Pineau
Relational Learning with One Network: An Asymptotic Analysis
Rongjing Xiang, Jennifer Neville
Relative Density-Ratio Estimation for Robust Distribution Comparison
Makoto Yamada, Taiji Suzuki, Takafumi Kanamori et al.
Relative Entropy Inverse Reinforcement Learning
Abdeslam Boularias, Jens Kober, Jan Peters
Revisiting MAP Estimation, Message Passing and Perfect Graphs
James Foulds, Nicholas Navaroli, Padhraic Smyth et al.
Robust approachability and regret minimization in games with partial monitoring
Shie Mannor, Vianney Perchet, Gilles Stoltz