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Logistic $Q$-Learning

Oct 21, 2020
Joan Bas-Serrano, Sebastian Curi, Andreas Krause, Gergely Neu


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Online Active Model Selection for Pre-trained Classifiers

Oct 21, 2020
Mohammad Reza Karimi, Nezihe Merve Gürel, Bojan Karlaš, Johannes Rausch, Ce Zhang, Andreas Krause


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Semi-supervised Batch Active Learning via Bilevel Optimization

Oct 19, 2020
Zalán Borsos, Marco Tagliasacchi, Andreas Krause


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Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator

Oct 09, 2020
Max B. Paulus, Chris J. Maddison, Andreas Krause


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Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases

Oct 01, 2020
Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel


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Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning

Jul 13, 2020
Sebastian Curi, Felix Berkenkamp, Andreas Krause


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Learning to Play Sequential Games versus Unknown Opponents

Jul 10, 2020
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause


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Stochastic Linear Bandits Robust to Adversarial Attacks

Jul 07, 2020
Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett


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Continuous Submodular Function Maximization

Jun 24, 2020
Yatao Bian, Joachim M. Buhmann, Andreas Krause

* 64 pages 

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Safe Reinforcement Learning via Curriculum Induction

Jun 22, 2020
Matteo Turchetta, Andrey Kolobov, Shital Shah, Andreas Krause, Alekh Agarwal


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Learning Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory

Jun 19, 2020
Lenart Treven, Sebastian Curi, Mojmir Mutny, Andreas Krause


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Gradient Estimation with Stochastic Softmax Tricks

Jun 15, 2020
Max B. Paulus, Dami Choi, Daniel Tarlow, Andreas Krause, Chris J. Maddison


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Learning Graph Models for Template-Free Retrosynthesis

Jun 12, 2020
Vignesh Ram Somnath, Charlotte Bunne, Connor W. Coley, Andreas Krause, Regina Barzilay


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Coresets via Bilevel Optimization for Continual Learning and Streaming

Jun 06, 2020
Zalán Borsos, Mojmír Mutný, Andreas Krause


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From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models

Jun 01, 2020
Aytunc Sahin, Yatao Bian, Joachim M. Buhmann, Andreas Krause


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Hierarchical Image Classification using Entailment Cone Embeddings

Apr 25, 2020
Ankit Dhall, Anastasia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause

* Accepted in the CVPR 2020 Workshop on Differential Geometry in Computer Vision and Machine Learning 

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Distributionally Robust Bayesian Optimization

Mar 22, 2020
Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause

* Accepted at AISTATS 2020 

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SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives

Mar 05, 2020
Emmanouil Angelis, Philippe Wenk, Bernhard Schölkopf, Stefan Bauer, Andreas Krause


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Corruption-Tolerant Gaussian Process Bandit Optimization

Mar 04, 2020
Ilija Bogunovic, Andreas Krause, Jonathan Scarlett

* Accepted to AISTATS 2020 

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Mixed Strategies for Robust Optimization of Unknown Objectives

Mar 02, 2020
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause


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Information Directed Sampling for Linear Partial Monitoring

Feb 25, 2020
Johannes Kirschner, Tor Lattimore, Andreas Krause


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PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees

Feb 13, 2020
Jonas Rothfuss, Vincent Fortuin, Andreas Krause


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A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness

Nov 08, 2019
Mohammad Yaghini, Hoda Heidari, Andreas Krause


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Safe Exploration for Interactive Machine Learning

Oct 30, 2019
Matteo Turchetta, Felix Berkenkamp, Andreas Krause

* Accepted at NeurIPS 2019 

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