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All publications by Andreas Krause
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Safe Exploration for Optimization with Gaussian Processes
Yanan Sui, Alkis Gotovos, Joel Burdick and Andreas Krause
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Scalable Variational Inference in Log-supermodular Models
Josip Djolonga and Andreas Krause
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Coresets for Nonparametric Estimation - the Case of DP-Means
Olivier Bachem, Mario Lucic and Andreas Krause
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Distributed Submodular Cover: Succinctly Summarizing Massive Data
Baharan Mirzasoleiman, Amin Karbasi, Ashwinkumar Badanidiyuru and Andreas Krause
Advances in Neural Information Processing Systems 28, 2015


Sampling from Probabilistic Submodular Models
Alkis Gotovos, Hamed Hassani and Andreas Krause
Advances in Neural Information Processing Systems 28, 2015


Near-Optimally Teaching the Crowd to Classify
Adish Singla, Ilija Bogunovic, Gabor Bartok, Amin Karbasi and Andreas Krause
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Active Detection via Adaptive Submodularity
Yuxin Chen, Hiroaki Shioi, Cesar F. Montesinos, Lian P. Koh, Serge Wich and Andreas Krause
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


From MAP to Marginals: Variational Inference in Bayesian Submodular Models
Josip Djolonga and Andreas Krause
Advances in Neural Information Processing Systems 27, 2014


Efficient Sampling for Learning Sparse Additive Models in High Dimensions
Hemant Tyagi, Bernd Gärtner and Andreas Krause
Advances in Neural Information Processing Systems 27, 2014


Efficient Partial Monitoring with Prior Information
Hastagiri P. Vanchinathan, Gábor Bartók and Andreas Krause
Advances in Neural Information Processing Systems 27, 2014


High-Dimensional Gaussian Process Bandits
Josip Djolonga, Andreas Krause and Volkan Cevher
Advances in Neural Information Processing Systems 26, 2013


Distributed Submodular Maximization: Identifying Representative Elements in Massive Data
Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar and Andreas Krause
Advances in Neural Information Processing Systems 26, 2013


Active Learning for Multi-Objective Optimization
Marcela Zuluaga, Guillaume Sergent, Andreas Krause and Markus Püschel
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
Yuxin Chen and Andreas Krause
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization
Thomas Desautels, Andreas Krause and Joel Burdick
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Joint Optimization and Variable Selection of High-dimensional Gaussian Processes
Bo Chen, Andreas Krause and Rui M. Castro
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning Fourier Sparse Set Functions
Peter Stobbe and Andreas Krause
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Contextual Gaussian Process Bandit Optimization
Andreas Krause and Cheng S. Ong
Advances in Neural Information Processing Systems 24, 2011


Scalable Training of Mixture Models via Coresets
Dan Feldman, Matthew Faulkner and Andreas Krause
Advances in Neural Information Processing Systems 24, 2011


Crowdclustering
Ryan G. Gomes, Peter Welinder, Andreas Krause and Pietro Perona
Advances in Neural Information Processing Systems 24, 2011


Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas, Andreas Krause, Matthias Seeger and Sham M. Kakade
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Submodular Dictionary Selection for Sparse Representation
Andreas Krause and Volkan Cevher
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Budgeted Nonparametric Learning from Data Streams
Andreas Krause and Ryan G. Gomes
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Near-Optimal Bayesian Active Learning with Noisy Observations
Daniel Golovin, Andreas Krause and Debajyoti Ray
Advances in Neural Information Processing Systems 23, 2010


Efficient Minimization of Decomposable Submodular Functions
Peter Stobbe and Andreas Krause
Advances in Neural Information Processing Systems 23, 2010


Discriminative Clustering by Regularized Information Maximization
Andreas Krause, Pietro Perona and Ryan G. Gomes
Advances in Neural Information Processing Systems 23, 2010


Online Learning of Assignments
Matthew Streeter, Daniel Golovin and Andreas Krause
Advances in Neural Information Processing Systems 22, 2009


Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
Andreas Krause, Ajit P. Singh and Carlos Guestrin
Journal of Machine Learning Research, 2008


Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach
Andreas Krause and Carlos Guestrin
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Selecting Observations against Adversarial Objectives
Andreas Krause, Brendan Mcmahan, Carlos Guestrin and Anupam Gupta
Advances in Neural Information Processing Systems 20, 2007


Data association for topic intensity tracking
Andreas Krause, Jure Leskovec and Carlos Guestrin
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Near-optimal sensor placements in Gaussian processes
Carlos Guestrin, Andreas Krause and Ajit P. Singh
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005