Papers
Causal Discovery with Continuous Additive Noise Models
Jonas Peters, Joris M. Mooij, Dominik Janzing et al.
Sparse Factor Analysis for Learning and Content Analytics
Andrew S. Lan, Andrew E. Waters, Christoph Studer et al.
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky et al.
Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems
Nicolas Städler, Daniel J. Stekhoven, Peter Bühlmann
Expectation Propagation for Neural Networks with Sparsity-Promoting Priors
Pasi Jylänki, Aapo Nummenmaa, Aki Vehtari
Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs
Jun Zhu, Ning Chen, Eric P. Xing
Hitting and Commute Times in Large Random Neighborhood Graphs
Ulrike von Luxburg, Agnes Radl, Matthias Hein
Graph Estimation From Multi-Attribute Data
Mladen Kolar, Han Liu, Eric P. Xing
Adaptive Minimax Regression Estimation over Sparse ℓ_q-Hulls
Zhan Wang, Sandra Paterlini, Fuchang Gao et al.
Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife
Stefan Wager, Trevor Hastie, Bradley Efron
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman, Andrew Gelman
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models
Majid Janzamin, Animashree Anandkumar
Iteration Complexity of Feasible Descent Methods for Convex Optimization
Po-Wei Wang, Chih-Jen Lin
Locally Adaptive Factor Processes for Multivariate Time Series
Daniele Durante, Bruno Scarpa, David B. Dunson
Training Highly Multiclass Classifiers
Maya R. Gupta, Samy Bengio, Jason Weston
Manopt, a Matlab Toolbox for Optimization on Manifolds
Nicolas Boumal, Bamdev Mishra, P.-A. Absil et al.
Adaptive Sampling for Large Scale Boosting
Charles Dubout, Francois Fleuret
Towards Ultrahigh Dimensional Feature Selection for Big Data
Mingkui Tan, Ivor W. Tsang, Li Wang
Structured Prediction via Output Space Search
Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
Follow the Leader If You Can, Hedge If You Must
Steven de Rooij, Tim van Erven, Peter D. Grünwald et al.
Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization
Nicolas Gillis, Robert Luce
Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders
Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco et al.
Prediction and Clustering in Signed Networks: A Local to Global Perspective
Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan et al.