Papers
Distributed Representations of Sentences and Documents
Quoc Le, Tomas Mikolov
Deep Boosting
Corinna Cortes, Mehryar Mohri, Umar Syed
Dual Query: Practical Private Query Release for High Dimensional Data
Marco Gaboardi, Emilio Jesus Gallego Arias, Justin Hsu et al.
Nonlinear Information-Theoretic Compressive Measurement Design
Liming Wang, Abolfazl Razi, Miguel Rodrigues et al.
Preserving Modes and Messages via Diverse Particle Selection
Jason Pacheco, Silvia Zuffi, Michael Black et al.
Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance
Simone Romano, James Bailey, Vinh Nguyen et al.
Ensemble Methods for Structured Prediction
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri
Finito: A faster, permutable incremental gradient method for big data problems
Aaron Defazio, Justin Domke, Caetano
Latent Confusion Analysis by Normalized Gamma Construction
Issei Sato, Hisashi Kashima, Hiroshi Nakagawa
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
Naiyan Wang, Dit-Yan Yeung
Outlier Path: A Homotopy Algorithm for Robust SVM
Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama et al.
A Physics-Based Model Prior for Object-Oriented MDPs
Jonathan Scholz, Martin Levihn, Charles Isbell et al.
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