Papers
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
Ji Liu, Stephen J. Wright, Christopher Ré et al.
Approximate Modified Policy Iteration and its Application to the Game of Tetris
Bruno Scherrer, Mohammad Ghavamzadeh, Victor Gabillon et al.
A Statistical Perspective on Algorithmic Leveraging
Ping Ma, Michael W. Mahoney, Bin Yu
A View of Margin Losses as Regularizers of Probability Estimates
Hamed Masnadi-Shirazi, Nuno Vasconcelos
Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization
Adith Swaminathan, Thorsten Joachims
Bayesian Nonparametric Covariance Regression
Emily B. Fox, David B. Dunson
Bayesian Nonparametric Crowdsourcing
Pablo G. Moreno, Antonio Artes-Rodriguez, Yee Whye Teh et al.
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery
Han Liu, Lie Wang, Tuo Zhao
CEKA: A Tool for Mining the Wisdom of Crowds
Jing Zhang, Victor S. Sheng, Bryce A. Nicholson et al.
Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013
Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin et al.
Combined l1 and Greedy l0 Penalized Least Squares for Linear Model Selection
Piotr Pokarowski, Jan Mielniczuk
Comparing Hard and Overlapping Clusterings
Danilo Horta, Ricardo J.G.B. Campello
Completing Any Low-rank Matrix, Provably
Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi et al.
Complexity of Equivalence and Learning for Multiplicity Tree Automata
Ines Marusic, James Worrell
Composite Self-Concordant Minimization
Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks
Bryon Aragam, Qing Zhou
Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA
Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama et al.
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets
Sofia Triantafillou, Ioannis Tsamardinos
Convergence Rates for Persistence Diagram Estimation in Topological Data Analysis
Frédéric Chazal, Marc Glisse, Catherine Labruère et al.
Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs
Yangbo He, Jinzhu Jia, Bin Yu
Decision Boundary for Discrete Bayesian Network Classifiers
Gherardo Varando, Concha Bielza, Pedro Larrañaga
Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-masses
Palle Jorgensen, Feng Tian
Discrete Restricted Boltzmann Machines
Guido Montúfar, Jason Morton
Distributed Matrix Completion and Robust Factorization
Lester Mackey, Ameet Talwalkar, Michael I. Jordan