Papers
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
k-NN Regression Adapts to Local Intrinsic Dimension
Samory Kpotufe
Lower Bounds for Passive and Active Learning
Maxim Raginsky, Alexander Rakhlin
The Kernel Beta Process
Lu Ren, Yingjian Wang, Lawrence Carin et al.
Priors over Recurrent Continuous Time Processes
Ardavan Saeedi, Alexandre Bouchard-côté
Efficient Methods for Overlapping Group Lasso
Lei Yuan, Jun Liu, Jieping Ye
Learning Higher-Order Graph Structure with Features by Structure Penalty
Shilin Ding, Grace Wahba, Xiaojin Zhu
Action-Gap Phenomenon in Reinforcement Learning
Amir-massoud Farahmand
A Molecular Algorithm for Path Self-Assembly in 3 Dimensions
R. Schulman and B. Yurke