Papers
Concurrent Reinforcement Learning from Customer Interactions
David Silver, Leonard Newnham, David Barker et al.
Learning Convex QP Relaxations for Structured Prediction
Jeremy Jancsary, Sebastian Nowozin, Carsten Rother
One-Pass AUC Optimization
Wei Gao, Rong Jin, Shenghuo Zhu et al.
Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines
Kohei Ogawa, Motoki Imamura, Ichiro Takeuchi et al.
Robust Regression on MapReduce
Xiangrui Meng, Michael Mahoney
Quantile Regression for Large-scale Applications
Jiyan Yang, Xiangrui Meng, Michael Mahoney
Learning the Structure of Sum-Product Networks
Robert Gens, Domingos Pedro
Kernelized Bayesian Matrix Factorization
Mehmet Gönen, Suleiman Khan, Samuel Kaski
Fast Semidifferential-based Submodular Function Optimization
Rishabh Iyer, Stefanie Jegelka, Jeff Bilmes
Max-Margin Multiple-Instance Dictionary Learning
Xinggang Wang, Baoyuan Wang, Xiang Bai et al.
Stable Coactive Learning via Perturbation
Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy et al.
Collective Stability in Structured Prediction: Generalization from One Example
Ben London, Bert Huang, Ben Taskar et al.
Domain Adaptation under Target and Conditional Shift
Kun Zhang, Bernhard Schölkopf, Krikamol Muandet et al.
Feature Multi-Selection among Subjective Features
Sivan Sabato, Adam Kalai
Consistency versus Realizable H-Consistency for Multiclass Classification
Phil Long, Rocco Servedio
Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation
Hema Koppula, Ashutosh Saxena
Optimization with First-Order Surrogate Functions
Julien Mairal
Robust Sparse Regression under Adversarial Corruption
Yudong Chen, Constantine Caramanis, Shie Mannor
Exact Rule Learning via Boolean Compressed Sensing
Dmitry Malioutov, Kush Varshney
Computation-Risk Tradeoffs for Covariance-Thresholded Regression
Dinah Shender, John Lafferty
Sparse PCA through Low-rank Approximations
Dimitris Papailiopoulos, Alexandros Dimakis, Stavros Korokythakis
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers
Pascal Germain, Amaury Habrard, François Laviolette et al.
Infinite Markov-Switching Maximum Entropy Discrimination Machines
Sotirios Chatzis
On autoencoder scoring
Hanna Kamyshanska, Roland Memisevic