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Safe Exploration for Bayesian Optimization
Andreas Krause
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Andreas Krause (ETHZ)
More from the Same Authors
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2021 Spotlight: DiBS: Differentiable Bayesian Structure Learning »
Lars Lorch · Jonas Rothfuss · Bernhard Schölkopf · Andreas Krause -
2021 : Towards Safe Global Optimality in Robot Learning with GoSafe »
Bhavya Sukhija · Matteo Turchetta · Andreas Krause · Sebastian Trimpe · Dominik Baumann -
2021 : DiBS: Differentiable Bayesian Structure Learning »
Lars Lorch · Jonas Rothfuss · Bernhard Schölkopf · Andreas Krause -
2021 : Learning Single-Cell Perturbation Responses using Neural Optimal Transport »
Charlotte Bunne · Stefan Stark · Gabriele Gut · Andreas Krause · Gunnar Rätsch · Lucas Pelkmans · Kjong Lehmann -
2022 : Active Bayesian Causal Inference »
Christian Toth · Lars Lorch · Christian Knoll · Andreas Krause · Franz Pernkopf · Robert Peharz · Julius von Kügelgen -
2022 : Active Bayesian Causal inference »
Christian Toth · Lars Lorch · Christian Knoll · Andreas Krause · Franz Pernkopf · Robert Peharz · Julius von Kügelgen -
2022 : Amortized Inference for Causal Structure Learning »
Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf -
2022 : MARS: Meta-learning as score matching in the function space »
Kruno Lehman · Jonas Rothfuss · Andreas Krause -
2022 : Neural All-Pairs Shortest Path for Reinforcement Learning »
Cristina Pinneri · Georg Martius · Andreas Krause -
2023 Workshop: Adaptive Experimental Design and Active Learning in the Real World »
Willie Neiswanger · Mojmir Mutny · Ilija Bogunovic · Ava Soleimany · Zi Wang · Stefano Ermon · Andreas Krause -
2022 Spotlight: Lightning Talks 1A-3 »
Kimia Noorbakhsh · Ronan Perry · Qi Lyu · Jiawei Jiang · Christian Toth · Olivier Jeunen · Xin Liu · Yuan Cheng · Lei Li · Manuel Rodriguez · Julius von Kügelgen · Lars Lorch · Nicolas Donati · Lukas Burkhalter · Xiao Fu · Zhongdao Wang · Songtao Feng · Ciarán Gilligan-Lee · Rishabh Mehrotra · Fangcheng Fu · Jing Yang · Bernhard Schölkopf · Ya-Li Li · Christian Knoll · Maks Ovsjanikov · Andreas Krause · Shengjin Wang · Hong Zhang · Mounia Lalmas · Bolin Ding · Bo Du · Yingbin Liang · Franz Pernkopf · Robert Peharz · Anwar Hithnawi · Julius von Kügelgen · Bo Li · Ce Zhang -
2022 Spotlight: Active Bayesian Causal Inference »
Christian Toth · Lars Lorch · Christian Knoll · Andreas Krause · Franz Pernkopf · Robert Peharz · Julius von Kügelgen -
2022 Poster: Supervised Training of Conditional Monge Maps »
Charlotte Bunne · Andreas Krause · Marco Cuturi -
2022 Poster: Near-Optimal Multi-Agent Learning for Safe Coverage Control »
Manish Prajapat · Matteo Turchetta · Melanie Zeilinger · Andreas Krause -
2022 Poster: Amortized Inference for Causal Structure Learning »
Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf -
2022 Poster: Movement Penalized Bayesian Optimization with Application to Wind Energy Systems »
Shyam Sundhar Ramesh · Pier Giuseppe Sessa · Andreas Krause · Ilija Bogunovic -
2022 Poster: Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces »
Mojmir Mutny · Andreas Krause -
2022 Poster: Graph Neural Network Bandits »
Parnian Kassraie · Andreas Krause · Ilija Bogunovic -
2022 Poster: Active Bayesian Causal Inference »
Christian Toth · Lars Lorch · Christian Knoll · Andreas Krause · Franz Pernkopf · Robert Peharz · Julius von Kügelgen -
2022 Poster: A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits »
Ilija Bogunovic · Zihan Li · Andreas Krause · Jonathan Scarlett -
2022 Poster: Active Exploration for Inverse Reinforcement Learning »
David Lindner · Andreas Krause · Giorgia Ramponi -
2022 Poster: Learning Long-Term Crop Management Strategies with CyclesGym »
Matteo Turchetta · Luca Corinzia · Scott Sussex · Amanda Burton · Juan Herrera · Ioannis Athanasiadis · Joachim M Buhmann · Andreas Krause -
2021 : Meta-Learning Reliable Priors in the Function Space »
Jonas Rothfuss · Dominique Heyn · jinfan Chen · Andreas Krause -
2021 Poster: Learning Graph Models for Retrosynthesis Prediction »
Vignesh Ram Somnath · Charlotte Bunne · Connor Coley · Andreas Krause · Regina Barzilay -
2021 Poster: Risk-averse Heteroscedastic Bayesian Optimization »
Anastasia Makarova · Ilnura Usmanova · Ilija Bogunovic · Andreas Krause -
2021 Poster: Hierarchical Skills for Efficient Exploration »
Jonas Gehring · Gabriel Synnaeve · Andreas Krause · Nicolas Usunier -
2021 Poster: Multi-Scale Representation Learning on Proteins »
Vignesh Ram Somnath · Charlotte Bunne · Andreas Krause -
2021 Poster: Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems »
Andreas Schlaginhaufen · Philippe Wenk · Andreas Krause · Florian Dorfler -
2021 Poster: Information Directed Reward Learning for Reinforcement Learning »
David Lindner · Matteo Turchetta · Sebastian Tschiatschek · Kamil Ciosek · Andreas Krause -
2021 Poster: Robust Generalization despite Distribution Shift via Minimum Discriminating Information »
Tobias Sutter · Andreas Krause · Daniel Kuhn -
2021 Poster: Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning »
Scott Sussex · Caroline Uhler · Andreas Krause -
2021 Poster: Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models »
Lenart Treven · Philippe Wenk · Florian Dorfler · Andreas Krause -
2021 Poster: Meta-Learning Reliable Priors in the Function Space »
Jonas Rothfuss · Dominique Heyn · jinfan Chen · Andreas Krause -
2021 Poster: Misspecified Gaussian Process Bandit Optimization »
Ilija Bogunovic · Andreas Krause -
2021 Poster: DiBS: Differentiable Bayesian Structure Learning »
Lars Lorch · Jonas Rothfuss · Bernhard Schölkopf · Andreas Krause -
2021 Poster: Regret Bounds for Gaussian-Process Optimization in Large Domains »
Manuel Wuethrich · Bernhard Schölkopf · Andreas Krause -
2020 : Invited speaker: Adaptive Sampling for Stochastic Risk-Averse Learning, Andreas Krause »
Andreas Krause -
2020 Poster: Adaptive Sampling for Stochastic Risk-Averse Learning »
Sebastian Curi · Kfir Y. Levy · Stefanie Jegelka · Andreas Krause -
2020 Poster: Contextual Games: Multi-Agent Learning with Side Information »
Pier Giuseppe Sessa · Ilija Bogunovic · Andreas Krause · Maryam Kamgarpour -
2020 Poster: Coresets via Bilevel Optimization for Continual Learning and Streaming »
Zalan Borsos · Mojmir Mutny · Andreas Krause -
2020 Poster: Gradient Estimation with Stochastic Softmax Tricks »
Max Paulus · Dami Choi · Danny Tarlow · Andreas Krause · Chris Maddison -
2020 Oral: Gradient Estimation with Stochastic Softmax Tricks »
Max Paulus · Dami Choi · Danny Tarlow · Andreas Krause · Chris Maddison -
2020 Poster: Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning »
Sebastian Curi · Felix Berkenkamp · Andreas Krause -
2020 Poster: Learning to Play Sequential Games versus Unknown Opponents »
Pier Giuseppe Sessa · Ilija Bogunovic · Maryam Kamgarpour · Andreas Krause -
2020 Spotlight: Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning »
Sebastian Curi · Felix Berkenkamp · Andreas Krause -
2020 Poster: Safe Reinforcement Learning via Curriculum Induction »
Matteo Turchetta · Andrey Kolobov · Shital Shah · Andreas Krause · Alekh Agarwal -
2020 Spotlight: Safe Reinforcement Learning via Curriculum Induction »
Matteo Turchetta · Andrey Kolobov · Shital Shah · Andreas Krause · Alekh Agarwal -
2019 Poster: Efficiently Learning Fourier Sparse Set Functions »
Andisheh Amrollahi · Amir Zandieh · Michael Kapralov · Andreas Krause -
2019 Spotlight: Efficiently Learning Fourier Sparse Set Functions »
Andisheh Amrollahi · Amir Zandieh · Michael Kapralov · Andreas Krause -
2019 Poster: Stochastic Bandits with Context Distributions »
Johannes Kirschner · Andreas Krause -
2019 Poster: A Domain Agnostic Measure for Monitoring and Evaluating GANs »
Paulina Grnarova · Kfir Y. Levy · Aurelien Lucchi · Nathanael Perraudin · Ian Goodfellow · Thomas Hofmann · Andreas Krause -
2019 Poster: No-Regret Learning in Unknown Games with Correlated Payoffs »
Pier Giuseppe Sessa · Ilija Bogunovic · Maryam Kamgarpour · Andreas Krause -
2019 Poster: Teaching Multiple Concepts to a Forgetful Learner »
Anette Hunziker · Yuxin Chen · Oisin Mac Aodha · Manuel Gomez Rodriguez · Andreas Krause · Pietro Perona · Yisong Yue · Adish Singla -
2019 Poster: Adaptive Sequence Submodularity »
Marko Mitrovic · Ehsan Kazemi · Moran Feldman · Andreas Krause · Amin Karbasi -
2019 Poster: Safe Exploration for Interactive Machine Learning »
Matteo Turchetta · Felix Berkenkamp · Andreas Krause -
2018 Poster: Provable Variational Inference for Constrained Log-Submodular Models »
Josip Djolonga · Stefanie Jegelka · Andreas Krause -
2018 Poster: Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features »
Mojmir Mutny · Andreas Krause -
2018 Spotlight: Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features »
Mojmir Mutny · Andreas Krause -
2018 Poster: Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making »
Hoda Heidari · Claudio Ferrari · Krishna Gummadi · Andreas Krause -
2017 : Invited talk: Towards Safe Bayesian Optimization »
Andreas Krause -
2017 Workshop: Discrete Structures in Machine Learning »
Yaron Singer · Jeff A Bilmes · Andreas Krause · Stefanie Jegelka · Amin Karbasi -
2017 Poster: Interactive Submodular Bandit »
Lin Chen · Andreas Krause · Amin Karbasi -
2017 Poster: Safe Model-based Reinforcement Learning with Stability Guarantees »
Felix Berkenkamp · Matteo Turchetta · Angela Schoellig · Andreas Krause -
2017 Poster: Differentiable Learning of Submodular Functions »
Josip Djolonga · Andreas Krause -
2017 Spotlight: Differentiable Learning of Submodular Functions »
Josip Djolonga · Andreas Krause -
2017 Poster: Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms »
Yatao Bian · Kfir Levy · Andreas Krause · Joachim M Buhmann -
2017 Poster: Stochastic Submodular Maximization: The Case of Coverage Functions »
Mohammad Karimi · Mario Lucic · Hamed Hassani · Andreas Krause -
2016 Poster: Variational Inference in Mixed Probabilistic Submodular Models »
Josip Djolonga · Sebastian Tschiatschek · Andreas Krause -
2016 Poster: Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation »
Ilija Bogunovic · Jonathan Scarlett · Andreas Krause · Volkan Cevher -
2016 Poster: Cooperative Graphical Models »
Josip Djolonga · Stefanie Jegelka · Sebastian Tschiatschek · Andreas Krause -
2016 Poster: Fast and Provably Good Seedings for k-Means »
Olivier Bachem · Mario Lucic · Hamed Hassani · Andreas Krause -
2016 Oral: Fast and Provably Good Seedings for k-Means »
Olivier Bachem · Mario Lucic · Hamed Hassani · Andreas Krause -
2016 Poster: Safe Exploration in Finite Markov Decision Processes with Gaussian Processes »
Matteo Turchetta · Felix Berkenkamp · Andreas Krause -
2015 Poster: Distributed Submodular Cover: Succinctly Summarizing Massive Data »
Baharan Mirzasoleiman · Amin Karbasi · Ashwinkumar Badanidiyuru · Andreas Krause -
2015 Poster: Sampling from Probabilistic Submodular Models »
Alkis Gotovos · Hamed Hassani · Andreas Krause -
2015 Spotlight: Distributed Submodular Cover: Succinctly Summarizing Massive Data »
Baharan Mirzasoleiman · Amin Karbasi · Ashwinkumar Badanidiyuru · Andreas Krause -
2015 Oral: Sampling from Probabilistic Submodular Models »
Alkis Gotovos · Hamed Hassani · Andreas Krause -
2014 Workshop: NIPS’14 Workshop on Crowdsourcing and Machine Learning »
David Parkes · Denny Zhou · Chien-Ju Ho · Nihar Bhadresh Shah · Adish Singla · Jared Heyman · Edwin Simpson · Andreas Krause · Rafael Frongillo · Jennifer Wortman Vaughan · Panagiotis Papadimitriou · Damien Peters -
2014 Workshop: Discrete Optimization in Machine Learning »
Jeffrey A Bilmes · Andreas Krause · Stefanie Jegelka · S Thomas McCormick · Sebastian Nowozin · Yaron Singer · Dhruv Batra · Volkan Cevher -
2014 Poster: Efficient Sampling for Learning Sparse Additive Models in High Dimensions »
Hemant Tyagi · Bernd Gärtner · Andreas Krause -
2014 Poster: From MAP to Marginals: Variational Inference in Bayesian Submodular Models »
Josip Djolonga · Andreas Krause -
2014 Poster: Efficient Partial Monitoring with Prior Information »
Hastagiri P Vanchinathan · Gábor Bartók · Andreas Krause -
2013 Workshop: Machine Learning for Sustainability »
Edwin Bonilla · Thomas Dietterich · Theodoros Damoulas · Andreas Krause · Daniel Sheldon · Iadine Chades · J. Zico Kolter · Bistra Dilkina · Carla Gomes · Hugo P Simao -
2013 Workshop: Bayesian Optimization in Theory and Practice »
Matthew Hoffman · Jasper Snoek · Nando de Freitas · Michael A Osborne · Ryan Adams · Sebastien Bubeck · Philipp Hennig · Remi Munos · Andreas Krause -
2013 Workshop: Discrete Optimization in Machine Learning: Connecting Theory and Practice »
Stefanie Jegelka · Andreas Krause · Pradeep Ravikumar · Kazuo Murota · Jeffrey A Bilmes · Yisong Yue · Michael Jordan -
2013 Poster: High-Dimensional Gaussian Process Bandits »
Josip Djolonga · Andreas Krause · Volkan Cevher -
2013 Poster: Distributed Submodular Maximization: Identifying Representative Elements in Massive Data »
Baharan Mirzasoleiman · Amin Karbasi · Rik Sarkar · Andreas Krause -
2012 Workshop: Discrete Optimization in Machine Learning (DISCML): Structure and Scalability »
Stefanie Jegelka · Andreas Krause · Jeffrey A Bilmes · Pradeep Ravikumar -
2011 Workshop: Discrete Optimization in Machine Learning (DISCML): Uncertainty, Generalization and Feedback »
Andreas Krause · Pradeep Ravikumar · Stefanie S Jegelka · Jeffrey A Bilmes -
2011 Oral: Scalable Training of Mixture Models via Coresets »
Dan Feldman · Matthew Faulkner · Andreas Krause -
2011 Poster: Scalable Training of Mixture Models via Coresets »
Dan Feldman · Matthew Faulkner · Andreas Krause -
2011 Poster: Contextual Gaussian Process Bandit Optimization »
Andreas Krause · Cheng Soon Ong -
2011 Poster: Crowdclustering »
Ryan G Gomes · Peter Welinder · Andreas Krause · Pietro Perona -
2010 Workshop: Discrete Optimization in Machine Learning: Structures, Algorithms and Applications »
Andreas Krause · Pradeep Ravikumar · Jeffrey A Bilmes · Stefanie Jegelka -
2010 Spotlight: Efficient Minimization of Decomposable Submodular Functions »
Peter G Stobbe · Andreas Krause -
2010 Poster: Discriminative Clustering by Regularized Information Maximization »
Ryan G Gomes · Andreas Krause · Pietro Perona -
2010 Poster: Efficient Minimization of Decomposable Submodular Functions »
Peter G Stobbe · Andreas Krause -
2010 Poster: Near-Optimal Bayesian Active Learning with Noisy Observations »
Daniel Golovin · Andreas Krause · Debajyoti Ray -
2009 Workshop: Discrete Optimization in Machine Learning: Submodularity, Polyhedra and Sparsity »
Andreas Krause · Pradeep Ravikumar · Jeffrey A Bilmes -
2009 Poster: Online Learning of Assignments »
Matthew Streeter · Daniel Golovin · Andreas Krause -
2009 Spotlight: Online Learning of Assignments »
Matthew Streeter · Daniel Golovin · Andreas Krause -
2007 Spotlight: Selecting Observations against Adversarial Objectives »
Andreas Krause · H. Brendan McMahan · Carlos Guestrin · Anupam Gupta -
2007 Poster: Selecting Observations against Adversarial Objectives »
Andreas Krause · H. Brendan McMahan · Carlos Guestrin · Anupam Gupta