Papers
Transfer Learning in a Transductive Setting
Marcus Rohrbach, Sandra Ebert, Bernt Schiele
Sign Cauchy Projections and Chi-Square Kernel
Ping Li, Gennady Samorodnitsk, John Hopcroft
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
Anima Anandkumar, Daniel J. Hsu, Majid Janzamin et al.
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex
Sam Patterson, Yee Whye Teh
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
Roger Frigola, Fredrik Lindsten, Thomas B Schön et al.
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Christopher D. Manning et al.
Demixing odors - fast inference in olfaction
Agnieszka Grabska-Barwinska, Jeff Beck, Alexandre Pouget et al.
Estimating LASSO Risk and Noise Level
Mohsen Bayati, Murat A Erdogdu, Andrea Montanari
Regression-tree Tuning in a Streaming Setting
Samory Kpotufe, Francesco Orabona
An Approximate, Efficient LP Solver for LP Rounding
Srikrishna Sridhar, Stephen Wright, Christopher Re et al.
Online Learning with Costly Features and Labels
Navid Zolghadr, Gabor Bartok, Russell Greiner et al.
Adaptivity to Local Smoothness and Dimension in Kernel Regression
Samory Kpotufe, Vikas Garg
Conditional Random Fields via Univariate Exponential Families
Eunho Yang, Pradeep K Ravikumar, Genevera I Allen et al.
A multi-agent control framework for co-adaptation in brain-computer interfaces
Josh S Merel, Roy Fox, Tony Jebara et al.
Scalable Inference for Logistic-Normal Topic Models
Jianfei Chen, Jun Zhu, Zi Wang et al.
Predictive PAC Learning and Process Decompositions
Cosma Shalizi, Aryeh Kontorovich
Estimation, Optimization, and Parallelism when Data is Sparse
John Duchi, Michael I Jordan, Brendan McMahan
Learning Multi-level Sparse Representations
Ferran Diego Andilla, Fred A. Hamprecht
Unsupervised Structure Learning of Stochastic And-Or Grammars
Kewei Tu, Maria Pavlovskaia, Song-Chun Zhu
Phase Retrieval using Alternating Minimization
Praneeth Netrapalli, Prateek Jain, Sujay Sanghavi
Tracking Time-varying Graphical Structure
Erich Kummerfeld, David Danks
Perfect Associative Learning with Spike-Timing-Dependent Plasticity
Christian Albers, Maren Westkott, Klaus Pawelzik
Reshaping Visual Datasets for Domain Adaptation
Boqing Gong, Kristen Grauman, Fei Sha
Matrix factorization with binary components
Martin Slawski, Matthias Hein, Pavlo Lutsik