Papers
Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Study in Human Volunteers
Brett L Moore, Larry D Pyeatt, Vivekanand Kulkarni et al.
Random Intersection Trees
Rajen Dinesh Shah, Nicolai Meinshausen
Link Prediction in Graphs with Autoregressive Features
Emile Richard, Stéphane Gaïffas, Nicolas Vayatis
Ground Metric Learning
Marco Cuturi, David Avis
Improving Markov Network Structure Learning Using Decision Trees
Daniel Lowd, Jesse Davis
LIBOL: A Library for Online Learning Algorithms
Steven C.H. Hoi, Jialei Wang, Peilin Zhao
The FASTCLIME Package for Linear Programming and Large-Scale Precision Matrix Estimation in R
Haotian Pang, Han Liu, Robert Vanderbei
Node-Based Learning of Multiple Gaussian Graphical Models
Karthik Mohan, Palma London, Maryam Fazel et al.
Unbiased Generative Semi-Supervised Learning
Patrick Fox-Roberts, Edward Rosten
Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
Off-policy Learning With Eligibility Traces: A Survey
Matthieu Geist, Bruno Scherrer
Information Theoretical Estimators Toolbox
Zoltán Szabó
Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning
Aaron Wilson, Alan Fern, Prasad Tadepalli
Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso
Aleksandr Aravkin, James V. Burke, Alessandro Chiuso et al.
Axioms for Graph Clustering Quality Functions
Twan van Laarhoven, Elena Marchiori
A Junction Tree Framework for Undirected Graphical Model Selection
Divyanshu Vats, Robert D. Nowak
EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines
Marc Claesen, Frank De Smet, Johan A.K. Suykens et al.
Detecting Click Fraud in Online Advertising: A Data Mining Approach
Richard Oentaryo, Ee-Peng Lim, Michael Finegold et al.
Fast SVM Training Using Approximate Extreme Points
Manu Nandan, Pramod P. Khargonekar, Sachin S. Talathi
Bridging Viterbi and Posterior Decoding: A Generalized Risk Approach to Hidden Path Inference Based on Hidden Markov Models
Jüri Lember, Alexey A. Koloydenko
Influence Function Learning in Information Diffusion Networks
Nan Du, Yingyu Liang, Maria Balcan et al.
Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing
Benjamin Haeffele, Eric Young, Rene Vidal
A reversible infinite HMM using normalised random measures
David Knowles, Zoubin Ghahramani, Konstantina Palla
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare
Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan et al.