Papers
4,025 papers found
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope
Jian Peng, Tamir Hazan, Nathan Srebro et al.
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
J. Zico Kolter, Tommi Jaakkola
A Simple Geometric Interpretation of SVM using Stochastic Adversaries
Roi Livni, Koby Crammer, Amir Globerson
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
Mohammad Khan, Shakir Mohamed, Benjamin Marlin et al.
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping
Xiaohui Chen, Xinghua Shi, Xing Xu et al.
A Variance Minimization Criterion to Active Learning on Graphs
Ming Ji, Jiawei Han
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
Alexandra Carpentier, Remi Munos
Bayesian Classifier Combination
Hyun-Chul Kim, Zoubin Ghahramani
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
Alexandre Lacoste, Francois Laviolette, Mario Marchand
Bayesian Group Factor Analysis
Seppo Virtanen, Arto Klami, Suleiman Khan et al.
Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach
Florian Stimberg, Andreas Ruttor, Manfred Opper
Bayesian Quadrature for Ratios
Michael Osborne, Roman Garnett, Stephen Roberts et al.
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
Marco Grzegorzyk, Dirk Husmeier
Beta-Negative Binomial Process and Poisson Factor Analysis
Mingyuan Zhou, Lauren Hannah, David Dunson et al.
Beyond Logarithmic Bounds in Online Learning
Francesco Orabona, Nicolo Cesa-Bianchi, Claudio Gentile
Causality with Gates
John Winn
Classifier Cascade for Minimizing Feature Evaluation Cost
Minmin Chen, Zhixiang Xu, Kilian Weinberger et al.
Complexity of Bethe Approximation
Jinwoo Shin
Consistency and Rates for Clustering with DBSCAN
Bharath Sriperumbudur, Ingo Steinwart
Constrained 1-Spectral Clustering
Syama Sundar Rangapuram, Matthias Hein
Contextual Bandit Learning with Predictable Rewards
Alekh Agarwal, Miroslav Dudik, Satyen Kale et al.
Controlling Selection Bias in Causal Inference
Elias Bareinboim, Judea Pearl
Copula Network Classifiers (CNCs)
Gal Elidan
CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels
Wei Bian, Bo Xie, Dacheng Tao