Papers
A Framework for Optimal Matching for Causal Inference
Nathan Kallus
Frank-Wolfe Algorithms for Saddle Point Problems
Gauthier Gidel, Tony Jebara, Simon Lacoste-Julien
Gray-box Inference for Structured Gaussian Process Models
Pietro Galliani, Amir Dezfouli, Edwin Bonilla et al.
Random Consensus Robust PCA
Daniel Pimentel-Alarcon, Robert Nowak
Encrypted Accelerated Least Squares Regression
Pedro Esperanca, Louis Aslett, Chris Holmes
Localized Lasso for High-Dimensional Regression
Makoto Yamada, Takeuchi Koh, Tomoharu Iwata et al.
Scaling Submodular Maximization via Pruned Submodularity Graphs
Tianyi Zhou, Hua Ouyang, Jeff Bilmes et al.
Regret Bounds for Transfer Learning in Bayesian Optimisation
Alistair Shilton, Sunil Gupta, Santu Rana et al.
Performance Bounds for Graphical Record Linkage
Rebecca C. Steorts, Mattew Barnes, Willie Neiswanger
Removing Phase Transitions from Gibbs Measures
Ian Fellows, Mark Handcock
Generalized Pseudolikelihood Methods for Inverse Covariance Estimation
Alnur Ali, Kshitij Khare, Sang-Yun Oh et al.
Poisson intensity estimation with reproducing kernels
Seth Flaxman, Yee Whye Teh, Dino Sejdinovic
Regret Bounds for Lifelong Learning
Pierre Alquier, The Tien Mai, Massimiliano Pontil
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation
Sohail Bahmani, Justin Romberg
Distance Covariance Analysis
Benjamin Cowley, Joao Semedo, Amin Zandvakili et al.
Learning Nash Equilibrium for General-Sum Markov Games from Batch Data
Julien Perolat, Florian Strub, Bilal Piot et al.
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests
Yuxin Chen, Hamed Hassani, Andreas Krause
Learning Theory for Conditional Risk Minimization
Alexander Zimin, Christoph Lampert
Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios
Hiroaki Sasaki, Takafumi Kanamori, Masashi Sugiyama
Minimax Density Estimation for Growing Dimension
Daniel McDonald
A Sub-Quadratic Exact Medoid Algorithm
James Newling, Francois Fleuret
Linear Thompson Sampling Revisited
Marc Abeille, Alessandro Lazaric
Learning Cost-Effective and Interpretable Treatment Regimes
Himabindu Lakkaraju, Cynthia Rudin
Learning Time Series Detection Models from Temporally Imprecise Labels
Roy Adams, Ben Marlin
Less than a Single Pass: Stochastically Controlled Stochastic Gradient
Lihua Lei, Michael Jordan