Papers
4,122 papers found
Node-Based Learning of Multiple Gaussian Graphical Models
Karthik Mohan, Palma London, Maryam Fazel et al.
Off-policy Learning With Eligibility Traces: A Survey
Matthieu Geist, Bruno Scherrer
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
On the Bayes-Optimality of F-Measure Maximizers
Willem Waegeman, Krzysztof Dembczyński, Arkadiusz Jachnik et al.
ooDACE Toolbox: A Flexible Object-Oriented Kriging Implementation
Ivo Couckuyt, Tom Dhaene, Piet Demeester
Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs
Braxton Osting, Christoph Brune, Stanley J. Osher
Optimality of Graphlet Screening in High Dimensional Variable Selection
Jiashun Jin, Cun-Hui Zhang, Qi Zhang
Order-Independent Constraint-Based Causal Structure Learning
Diego Colombo, Marloes H. Maathuis
Parallelizing Exploration-Exploitation Tradeoffs in Gaussian Process Bandit Optimization
Thomas Desautels, Andreas Krause, Joel W. Burdick
Parallel MCMC with Generalized Elliptical Slice Sampling
Robert Nishihara, Iain Murray, Ryan P. Adams
Particle Gibbs with Ancestor Sampling
Fredrik Lindsten, Michael I. Jordan, Thomas B. Schön
Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems
Nicolas Städler, Daniel J. Stekhoven, Peter Bühlmann
Policy Evaluation with Temporal Differences: A Survey and Comparison
Christoph Dann, Gerhard Neumann, Jan Peters
Prediction and Clustering in Signed Networks: A Local to Global Perspective
Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan et al.
pystruct - Learning Structured Prediction in Python
Andreas C. Müller, Sven Behnke
QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation
Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon et al.
Ramp Loss Linear Programming Support Vector Machine
Xiaolin Huang, Lei Shi, Johan A.K. Suykens
Random Intersection Trees
Rajen Dinesh Shah, Nicolai Meinshausen
Recursive Teaching Dimension, VC-Dimension and Sample Compression
Thorsten Doliwa, Gaojian Fan, Hans Ulrich Simon et al.
Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Study in Human Volunteers
Brett L Moore, Larry D Pyeatt, Vivekanand Kulkarni et al.
Revisiting Bayesian Blind Deconvolution
David Wipf, Haichao Zhang
Revisiting Stein's Paradox: Multi-Task Averaging
Sergey Feldman, Maya R. Gupta, Bela A. Frigyik
Robust Hierarchical Clustering
Maria-Florina Balcan, Yingyu Liang, Pramod Gupta
Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization
Nicolas Gillis, Robert Luce