Papers
QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation
Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon et al.
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard, Andrea Montanari
Bayesian Entropy Estimation for Countable Discrete Distributions
Evan Archer, Il Memming Park, Jonathan W. Pillow
Tensor Decompositions for Learning Latent Variable Models
Animashree Anandkumar, Rong Ge, Daniel Hsu et al.
Optimality of Graphlet Screening in High Dimensional Variable Selection
Jiashun Jin, Cun-Hui Zhang, Qi Zhang
Efficient Occlusive Components Analysis
Marc Henniges, Richard E. Turner, Maneesh Sahani et al.
A Truncated EM Approach for Spike-and-Slab Sparse Coding
Abdul-Saboor Sheikh, Jacquelyn A. Shelton, Jörg Lücke
Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions
Amit Dhurandhar, Marek Petrik
Boosting Algorithms for Detector Cascade Learning
Mohammad Saberian, Nuno Vasconcelos
Contextual Bandits with Similarity Information
Aleksandrs Slivkins
One-Shot-Learning Gesture Recognition using HOG-HOF Features
Jakub Konecny, Michal Hagara
On Multilabel Classification and Ranking with Bandit Feedback
Claudio Gentile, Francesco Orabona
Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity
Shay B. Cohen, Karl Stratos, Michael Collins et al.
Efficient State-Space Inference of Periodic Latent Force Models
Steven Reece, Siddhartha Ghosh, Alex Rogers et al.
Cover Tree Bayesian Reinforcement Learning
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
A Tensor Approach to Learning Mixed Membership Community Models
Animashree Anandkumar, Rong Ge, Daniel Hsu et al.
Clustering Partially Observed Graphs via Convex Optimization
Yudong Chen, Ali Jalali, Sujay Sanghavi et al.
Ramp Loss Linear Programming Support Vector Machine
Xiaolin Huang, Lei Shi, Johan A.K. Suykens
Particle Gibbs with Ancestor Sampling
Fredrik Lindsten, Michael I. Jordan, Thomas B. Schön
Classifier Cascades and Trees for Minimizing Feature Evaluation Cost
Zhixiang (Eddie) Xu, Matt J. Kusner, Kilian Q. Weinberger et al.
Parallel MCMC with Generalized Elliptical Slice Sampling
Robert Nishihara, Iain Murray, Ryan P. Adams
The Student-t Mixture as a Natural Image Patch Prior with Application to Image Compression
Aäron van den Oord, Benjamin Schrauwen
pystruct - Learning Structured Prediction in Python
Andreas C. Müller, Sven Behnke