Papers
A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors
Julianus Pfeuffer, Oliver Serang
A Characterization of Linkage-Based Hierarchical Clustering
Margareta Ackerman, Shai Ben-David
A Closer Look at Adaptive Regret
Dmitry Adamskiy, Wouter M. Koolen, Alexey Chernov et al.
A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces
Xiang Zhang, Yichao Wu, Lan Wang et al.
Adaptive Lasso and group-Lasso for functional Poisson regression
Stéphane Ivanoff, Franck Picard, Vincent Rivoirard
Addressing Environment Non-Stationarity by Repeating Q-learning Updates
Sherief Abdallah, Michael Kaisers
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su, Stephen Boyd, Emmanuel J. Candès
Adjusting for Chance Clustering Comparison Measures
Simone Romano, Nguyen Xuan Vinh, James Bailey et al.
A General Framework for Consistency of Principal Component Analysis
Dan Shen, Haipeng Shen, J. S. Marron
A General Framework for Constrained Bayesian Optimization using Information-based Search
José Miguel Hernández-Lobato, Michael A. Gelbart, Ryan P. Adams et al.
A Gibbs Sampler for Learning DAGs
Robert J. B. Goudie, Sach Mukherjee
Analysis of Classification-based Policy Iteration Algorithms
Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning
Richard S. Sutton, A. Rupam Mahmood, Martha White
An Error Bound for L1-norm Support Vector Machine Coefficients in Ultra-high Dimension
Bo Peng, Lan Wang, Yichao Wu
A New Algorithm and Theory for Penalized Regression-based Clustering
Chong Wu, Sunghoon Kwon, Xiaotong Shen et al.
An Information-Theoretic Analysis of Thompson Sampling
Daniel Russo, Benjamin Van Roy
Approximate Newton Methods for Policy Search in Markov Decision Processes
Thomas Furmston, Guy Lever, David Barber
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees
Michael Chichignoud, Johannes Lederer, Martin J. Wainwright
Are Random Forests Truly the Best Classifiers?
Michael Wainberg, Babak Alipanahi, Brendan J. Frey
A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares
Garvesh Raskutti, Michael W. Mahoney
Augmentable Gamma Belief Networks
Mingyuan Zhou, Yulai Cong, Bo Chen
A Unified View on Multi-class Support Vector Classification
Ürün Doğan, Tobias Glasmachers, Christian Igel