Papers
PiCoDes: Learning a Compact Code for Novel-Category Recognition
Alessandro Bergamo, Lorenzo Torresani, Andrew W. Fitzgibbon
Video Annotation and Tracking with Active Learning
Carl Vondrick, Deva Ramanan
Convergent Bounds on the Euclidean Distance
Yoonho Hwang, Hee-kap Ahn
Nearest Neighbor based Greedy Coordinate Descent
Inderjit S. Dhillon, Pradeep K. Ravikumar, Ambuj Tewari
Large-Scale Sparse Principal Component Analysis with Application to Text Data
Youwei Zhang, Laurent E. Ghaoui
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach
Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic et al.
Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons
Yan Karklin, Eero P. Simoncelli
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals
Zuoguan Wang, Gerwin Schalk, Qiang Ji
Maximum Margin Multi-Instance Learning
Hua Wang, Heng Huang, Farhad Kamangar et al.
Prediction strategies without loss
Michael Kapralov, Rina Panigrahy
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors
Chun-Nam Yu, Russell Greiner, Hsiu-Chin Lin et al.
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements
Andrew E. Waters, Aswin C. Sankaranarayanan, Richard Baraniuk
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition
Nobuyuki Morioka, Shin'ichi Satoh
The Doubly Correlated Nonparametric Topic Model
Dae I. Kim, Erik B. Sudderth
Regularized Laplacian Estimation and Fast Eigenvector Approximation
Patrick O. Perry, Michael W. Mahoney
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers
Luca Oneto, Davide Anguita, Alessandro Ghio et al.
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
David Wingate, Noah Goodman, Andreas Stuhlmueller et al.
Active learning of neural response functions with Gaussian processes
Mijung Park, Greg Horwitz, Jonathan W. Pillow
Hashing Algorithms for Large-Scale Learning
Ping Li, Anshumali Shrivastava, Joshua L. Moore et al.
On the Analysis of Multi-Channel Neural Spike Data
Bo Chen, David E. Carlson, Lawrence Carin
Phase transition in the family of p-resistances
Morteza Alamgir, Ulrike V. Luxburg
Bayesian Bias Mitigation for Crowdsourcing
Fabian L. Wauthier, Michael I. Jordan
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations
Emin Orhan, Robert A. Jacobs
Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound
Iasonas Kokkinos
Variational Learning for Recurrent Spiking Networks
Danilo J. Rezende, Daan Wierstra, Wulfram Gerstner