Papers
21,849 papers found
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
Semantic Labeling of 3D Point Clouds for Indoor Scenes
Hema S. Koppula, Abhishek Anand, Thorsten Joachims et al.
Semi-supervised Regression via Parallel Field Regularization
Binbin Lin, Chiyuan Zhang, Xiaofei He
Sequence learning with hidden units in spiking neural networks
Johanni Brea, Walter Senn, Jean-pascal Pfister
Shallow vs. Deep Sum-Product Networks
Olivier Delalleau, Yoshua Bengio
Shaping Level Sets with Submodular Functions
Francis R. Bach
ShareBoost: Efficient multiclass learning with feature sharing
Shai Shalev-shwartz, Yonatan Wexler, Amnon Shashua
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment
Sebastian A. Kurtek, Anuj Srivastava, Wei Wu