Papers
Prismatic Algorithm for Discrete D.C. Programming Problem
Yoshinobu Kawahara, Takashi Washio
Probabilistic amplitude and frequency demodulation
Richard Turner, Maneesh Sahani
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
Projection onto A Nonnegative Max-Heap
Jun Liu, Liang Sun, Jieping Ye
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.
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
Relative Density-Ratio Estimation for Robust Distribution Comparison
Makoto Yamada, Taiji Suzuki, Takafumi Kanamori et al.
Robust Lasso with missing and grossly corrupted observations
Nasser M. Nasrabadi, Trac D. Tran, Nam Nguyen
Robust Multi-Class Gaussian Process Classification
Daniel Hernández-lobato, Jose M. Hernández-lobato, Pierre Dupont
RTRMC: A Riemannian trust-region method for low-rank matrix completion
Nicolas Boumal, Pierre-antoine Absil
Scalable Training of Mixture Models via Coresets
Dan Feldman, Matthew Faulkner, Andreas Krause
See the Tree Through the Lines: The Shazoo Algorithm
Fabio Vitale, Nicolò Cesa-bianchi, Claudio Gentile et al.
Select and Sample - A Model of Efficient Neural Inference and Learning
Jacquelyn A. Shelton, Abdul S. Sheikh, Pietro Berkes et al.
Selecting Receptive Fields in Deep Networks
Adam Coates, Andrew Y. Ng
Selecting the State-Representation in Reinforcement Learning
Odalric-ambrym Maillard, Daniil Ryabko, Rémi Munos
Selective Prediction of Financial Trends with Hidden Markov Models
Dmitry Pidan, Ran El-Yaniv