Papers
Discriminative Features via Generalized Eigenvectors
Nikos Karampatziakis, Paul Mineiro
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
Jiyan Yang, Vikas Sindhwani, Haim Avron et al.
(Near) Dimension Independent Risk Bounds for Differentially Private Learning
Prateek Jain, Abhradeep Guha Thakurta
A Deep and Tractable Density Estimator
Benigno Uria, Iain Murray, Hugo Larochelle
On Modelling Non-linear Topical Dependencies
Zhixing Li, Siqiang Wen, Juanzi Li et al.
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning
François Denis, Mattias Gybels, Amaury Habrard
Bias in Natural Actor-Critic Algorithms
Philip Thomas
On Measure Concentration of Random Maximum A-Posteriori Perturbations
Francesco Orabona, Tamir Hazan, Anand Sarwate et al.
Condensed Filter Tree for Cost-Sensitive Multi-Label Classification
Chun-Liang Li, Hsuan-Tien Lin
Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost
Ferdinando Cicalese, Eduardo Laber, Aline Medeiros Saettler
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach
Rémi Bardenet, Arnaud Doucet, Chris Holmes
Modeling Correlated Arrival Events with Latent Semi-Markov Processes
Wenzhao Lian, Vinayak Rao, Brian Eriksson et al.
Deterministic Policy Gradient Algorithms
David Silver, Guy Lever, Nicolas Heess et al.
Online Bayesian Passive-Aggressive Learning
Tianlin Shi, Jun Zhu
Tracking Adversarial Targets
Yasin Abbasi-Yadkori, Peter Bartlett, Varun Kanade
Computing Parametric Ranking Models via Rank-Breaking
Hossein Azari Soufiani, David Parkes, Lirong Xia
Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm
Tasuku Soma, Naonori Kakimura, Kazuhiro Inaba et al.
Boosting with Online Binary Learners for the Multiclass Bandit Problem
Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu
Generalized Exponential Concentration Inequality for Renyi Divergence Estimation
Shashank Singh, Barnabas Poczos
Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function
Yong Liu, Shali Jiang, Shizhong Liao
Max-Margin Infinite Hidden Markov Models
Aonan Zhang, Jun Zhu, Bo Zhang
Wasserstein Propagation for Semi-Supervised Learning
Justin Solomon, Raif Rustamov, Leonidas Guibas et al.
Large-Margin Metric Learning for Constrained Partitioning Problems
Rémi Lajugie, Francis Bach, Sylvain Arlot
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts
Tien Vu Nguyen, Dinh Phung, Xuanlong Nguyen et al.
Prediction with Limited Advice and Multiarmed Bandits with Paid Observations
Yevgeny Seldin, Peter Bartlett, Koby Crammer et al.