Papers
Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations
Bilal Ahmed, Thomas Thesen, Karen Blackmon et al.
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows
Robert Busa-Fekete, Eyke Huellermeier, Balázs Szörényi
Optimal Mean Robust Principal Component Analysis
Feiping Nie, Jianjun Yuan, Heng Huang
Nearest Neighbors Using Compact Sparse Codes
Anoop Cherian
Distributed Stochastic Gradient MCMC
Sungjin Ahn, Babak Shahbaba, Max Welling
Min-Max Problems on Factor Graphs
Siamak Ravanbakhsh, Christopher Srinivasa, Brendan Frey et al.
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process
Alessio Benavoli, Giorgio Corani, Francesca Mangili et al.
Anti-differentiating approximation algorithms:A case study with min-cuts, spectral, and flow
David Gleich, Michael Mahoney
Concept Drift Detection Through Resampling
Maayan Harel, Shie Mannor, Ran El-Yaniv et al.
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method
Ohad Shamir, Nati Srebro, Tong Zhang
A PAC-Bayesian bound for Lifelong Learning
Anastasia Pentina, Christoph Lampert
Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process
Issei Sato, Hiroshi Nakagawa
Hierarchical Dirichlet Scaling Process
Dongwoo Kim, Alice Oh
Making Fisher Discriminant Analysis Scalable
Bojun Tu, Zhihua Zhang, Shusen Wang et al.
Multiple Testing under Dependence via Semiparametric Graphical Models
Jie Liu, Chunming Zhang, Elizabeth Burnside et al.
Circulant Binary Embedding
Felix Yu, Sanjiv Kumar, Yunchao Gong et al.
Bayesian Optimization with Inequality Constraints
Jacob Gardner, Matt Kusner, Zhixiang et al.
Robust Inverse Covariance Estimation under Noisy Measurements
Jun-Kun Wang, Shou-de Lin
Nonparametric Estimation of Renyi Divergence and Friends
Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabas Poczos et al.
Sparse meta-Gaussian information bottleneck
Melani Rey, Volker Roth, Thomas Fuchs
Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications
Tian Lin, Bruno Abrahao, Robert Kleinberg et al.
Maximum Margin Multiclass Nearest Neighbors
Aryeh Kontorovich, Roi Weiss
Hard-Margin Active Linear Regression
Elad Hazan, Zohar Karnin
Joint Inference of Multiple Label Types in Large Networks
Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang et al.
Large-margin Weakly Supervised Dimensionality Reduction
Chang Xu, Dacheng Tao, Chao Xu et al.