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Jonathan Scarlett

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High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups

Mar 28, 2018
Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher

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Phase Transitions in the Pooled Data Problem

Oct 18, 2017
Jonathan Scarlett, Volkan Cevher

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Robust Submodular Maximization: A Non-Uniform Partitioning Approach

Jun 15, 2017
Ilija Bogunovic, Slobodan Mitrović, Jonathan Scarlett, Volkan Cevher

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Lower Bounds on Active Learning for Graphical Model Selection

Feb 07, 2017
Jonathan Scarlett, Volkan Cevher

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Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation

Oct 24, 2016
Ilija Bogunovic, Jonathan Scarlett, Andreas Krause, Volkan Cevher

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Limits on Support Recovery with Probabilistic Models: An Information-Theoretic Framework

Aug 30, 2016
Jonathan Scarlett, Volkan Cevher

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On the Difficulty of Selecting Ising Models with Approximate Recovery

Jul 08, 2016
Jonathan Scarlett, Volkan Cevher

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Partial Recovery Bounds for the Sparse Stochastic Block Model

Apr 04, 2016
Jonathan Scarlett, Volkan Cevher

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Learning-based Compressive Subsampling

Mar 28, 2016
Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gözcü, Ilija Bogunovic, Volkan Cevher

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Time-Varying Gaussian Process Bandit Optimization

Jan 25, 2016
Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher

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