Papers
4,025 papers found
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence
Yung-Kyun Noh, Masashi Sugiyama, Song Liu et al.
Black Box Variational Inference
Rajesh Ranganath, Sean Gerrish, David Blei
Characterizing EVOI-Sufficient k-Response Query Sets in Decision Problems
Robert Cohn, Satinder Singh, Edmund Durfee
Class Proportion Estimation with Application to Multiclass Anomaly Rejection
Tyler Sanderson, Clayton Scott
Cluster Canonical Correlation Analysis
Nikhil Rasiwasia, Dhruv Mahajan, Vijay Mahadevan et al.
Collaborative Ranking for Local Preferences
Berk Kapicioglu, David Rosenberg, Robert Schapire et al.
Computational Education using Latent Structured Prediction
Tanja Käser, Alexander Schwing, Tamir Hazan et al.
Connected Sub-graph Detection
Jing Qian, Venkatesh Saligrama, Yuting Chen
Context Aware Group Nearest Shrunken Centroids in Large-Scale Genomic Studies
Juemin Yang, Fang Han, Rafael Irizarry et al.
Decontamination of Mutually Contaminated Models
Gilles Blanchard, Clayton Scott
Distributed optimization of deeply nested systems
Miguel Carreira-Perpinan, Weiran Wang
Dynamic Resource Allocation for Optimizing Population Diffusion
Shan Xue, Alan Fern, Daniel Sheldon
Efficient Algorithms and Error Analysis for the Modified Nystrom Method
Shusen Wang, Zhihua Zhang
Efficient Distributed Topic Modeling with Provable Guarantees
Weicong Ding, Mohammad Rohban, Prakash Ishwar et al.
Efficient Inference for Complex Queries on Complex Distributions
Lili Dworkin, Michael Kearns, Lirong Xia
Efficient Lifting of MAP LP Relaxations Using k-Locality
Martin Mladenov, Kristian Kersting, Amir Globerson
Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs
Jianhui Chen, Tianbao Yang, Shenghuo Zhu
Efficiently Enforcing Diversity in Multi-Output Structured Prediction
Abner Guzman-Rivera, Pushmeet Kohli, Dhruv Batra et al.
Efficient Transfer Learning Method for Automatic Hyperparameter Tuning
Dani Yogatama, Gideon Mann
Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations
Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno et al.
Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables
Tomi Peltola, Pasi Jylänki, Aki Vehtari
Explicit Link Between Periodic Covariance Functions and State Space Models
Arno Solin, Simo Särkkä
Exploiting the Limits of Structure Learning via Inherent Symmetry
Peng He, Changshui Zhang
Fast Distribution To Real Regression
Junier Oliva, Willie Neiswanger, Barnabas Poczos et al.