Papers
4,025 papers found
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation
Hiroaki Sasaki, Yung-Kyun Noh, Masashi Sugiyama
Efficient Estimation of Mutual Information for Strongly Dependent Variables
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
Efficient Second-Order Gradient Boosting for Conditional Random Fields
Tianqi Chen, Sameer Singh, Ben Taskar et al.
Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures
Martin Azizyan, Aarti Singh, Larry Wasserman
Efficient Training of Structured SVMs via Soft Constraints
Ofer Meshi, Nathan Srebro, Tamir Hazan
Estimating the accuracies of multiple classifiers without labeled data
Ariel Jaffe, Boaz Nadler, Yuval Kluger
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence
Nihar Shah, Sivaraman Balakrishnan, Joseph Bradley et al.
Exact Bayesian Learning of Ancestor Relations in Bayesian Networks
Yetian Chen, Lingjian Meng, Jin Tian
Exploiting Symmetries to Construct Efficient MCMC Algorithms With an Application to SLAM
Roshan Shariff, András György, Csaba Szepesvari
Falling Rule Lists
Fulton Wang, Cynthia Rudin
Fast Function to Function Regression
Junier Oliva, William Neiswanger, Barnabas Poczos et al.
Feature Selection for Linear SVM with Provable Guarantees
Saurabh Paul, Malik Magdon-Ismail, Petros Drineas
Filtered Search for Submodular Maximization with Controllable Approximation Bounds
Wenlin Chen, Yixin Chen, Kilian Weinberger
Gamma Processes, Stick-Breaking, and Variational Inference
Anirban Roychowdhury, Brian Kulis
Gaussian Processes for Bayesian hypothesis tests on regression functions
Alessio Benavoli, Francesca Mangili
Generalized Linear Models for Aggregated Data
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
Global Multi-armed Bandits with Hölder Continuity
Onur Atan, Cem Tekin, Mihaela van der Schaar
Graph Approximation and Clustering on a Budget
Ethan Fetaya, Ohad Shamir, Shimon Ullman
Implementable confidence sets in high dimensional regression
Alexandra Carpentier
Inference of Cause and Effect with Unsupervised Inverse Regression
Eleni Sgouritsa, Dominik Janzing, Philipp Hennig et al.
Inferring Block Structure of Graphical Models in Exponential Families
Siqi Sun, Hai Wang, Jinbo Xu
Latent feature regression for multivariate count data
Arto Klami, Abhishek Tripathi, Johannes Sirola et al.
Learning Deep Sigmoid Belief Networks with Data Augmentation
Zhe Gan, Ricardo Henao, David Carlson et al.
Learning Efficient Anomaly Detectors from K-NN Graphs
Jonathan Root, Jing Qian, Venkatesh Saligrama