Andreas Krause

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Demo abstract, the next big one: Detecting earthquakes and other rare events from community-based sensors

Andreas Krause, K. Mani Chandy, Matthew Faulkner, 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

The next big one: Detecting earthquakes and other rare events from community-based sensors

Andreas Krause, K. Mani Chandy, Matthew Faulkner, 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

Information Directed Sampling and Bandits with Heteroscedastic Noise

Andreas Krause, Johannes Kirschner, Andreas Krause, 2018, COLT.

Informative path planning for an autonomous underwater vehicle

Gaurav S. Sukhatme, Andreas Krause, Jonathan Binney, 2010, 2010 IEEE International Conference on Robotics and Automation.

Connecting a rotatable member to a crankshaft

Andreas Krause, Achim Link, Reinhold Weidinger, 1996 .

Submodular Function Optimization in Sensor and Social Networks

Andreas Krause, 2012 .

A Utility-Theoretic Approach to Privacy and Personalization

Andreas Krause, Eric Horvitz, E. Horvitz, 2008, AAAI.

Safe controller optimization for quadrotors with Gaussian processes

Andreas Krause, Angela P. Schoellig, Felix Berkenkamp, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization pdf

Andreas Krause, Sebastian Tschiatschek, Adish Singla, 2015, AAAI.

Generalization and search in risky environments

Andreas Krause, Maarten Speekenbrink, Eric Schulz, 2018 .

Differentiable Submodular Maximization

Andreas Krause, Sebastian Tschiatschek, Aytunc Sahin, 2018, IJCAI.

Community Seismic Network (CSN)

Andreas Krause, Thomas H. Heaton, Robert W. Clayton, 2010 .

Approximate K-Means++ in Sublinear Time

Andreas Krause, Olivier Bachem, Mario Lucic, 2016, AAAI.

A Utility-Theoretic Approach to Privacy in Online Services pdf

Andreas Krause, Eric Horvitz, E. Horvitz, 2010, J. Artif. Intell. Res..

Learning to Interact With Learning Agents

Andreas Krause, Adish Singla, Seyed Hamed Hassani, 2018, AAAI.

Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

Andreas Krause, Johannes Kirschner, Rasmus Ischebeck, 2019, ICML.

Automated sample plan selection for OPC modeling

Andreas Krause, Maria Gabrani, Om Jaiswal, 2014, Advanced Lithography.

Generalization and search in risky environments

Andreas Krause, Maarten Speekenbrink, Eric Schulz, 2017, bioRxiv.

The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems pdf

Andreas Krause, Felix Berkenkamp, Spencer M. Richards, 2018, CoRL.

Optimal Nonmyopic Value of Information in Graphical Models - Efficient Algorithms and Theoretical Limits

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2005, IJCAI.

Contextual Procurement in Online Crowdsourcing Markets

Andreas Krause, Adish Singla, Gábor Bartók, 2014, HCOMP.

Projection Free Online Learning over Smooth Sets

Andreas Krause, Kfir Y. Levy, Andreas Krause, 2019, AISTATS.

Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting pdf

Andreas Krause, Jean-Michel Renders, Morteza Haghir Chehreghani, 2017, UAI.

Differentiable Learning of Submodular Functions

Andreas Krause, Josip Djolonga, 2017, NIPS.

Online Variance Reduction with Mixtures pdf

Andreas Krause, Sebastian Curi, Kfir Y. Levy, 2019, ICML.

"Smart" design space sampling to predict Pareto-optimal solutions

Andreas Krause, Markus Püschel, Marcela Zuluaga, 2012, LCTES 2012.

Deletion-Robust Submodular Maximization: Data Summarization with "the Right to be Forgotten"

Andreas Krause, Baharan Mirzasoleiman, Amin Karbasi, 2017, ICML.

Learning and Feature Selection under Budget Constraints in Crowdsourcing

Andreas Krause, Donald Kossmann, Adish Singla, 2016, HCOMP.

Machine Learning and Formal Method (Dagstuhl Seminar 17351)

Andreas Krause, Sanjit A. Seshia, Susmit Jha, 2017, Dagstuhl Reports.

Near-optimal sensor placements in Gaussian processes

Andreas Krause, Carlos Guestrin, Ajit Paul Singh, 2005, ICML.

Optimizing Sensing: From Water to the Web

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2009, Computer.

Near-optimal Bayesian Active Learning with Correlated and Noisy Tests pdf

Andreas Krause, Seyed Hamed Hassani, Yuxin Chen, 2016, AISTATS.

Incentive-Compatible Forecasting Competitions pdf

Andreas Krause, David M. Pennock, Jens Witkowski, 2018, AAAI.

Near-optimal sensor placements: maximizing information while minimizing communication cost

Andreas Krause, Jon M. Kleinberg, Anupam Gupta, 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

Probabilistic Submodular Maximization in Sub-Linear Time

Morteza Zadimoghaddam, Andreas Krause, Amin Karbasi, 2017, ICML.

Simultaneous Optimization of Sensor Placements and Balanced Schedules

Andreas Krause, Ram Rajagopal, Anupam Gupta, 2011, IEEE Transactions on Automatic Control.

Fully autonomous focused exploration for robotic environmental monitoring

Alkis Gotovos, Andreas Krause, Roland Siegwart, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Stochastic Submodular Maximization: The Case of Coverage Functions

Andreas Krause, Mario Lucic, S. Hamed Hassani, 2017, NIPS.

Provable Variational Inference for Constrained Log-Submodular Models

Andreas Krause, Stefanie Jegelka, Josip Djolonga, 2018, NeurIPS.

Contextual Gaussian Process Bandit Optimization

Andreas Krause, Cheng Soon Ong, Andreas Krause, 2011, NIPS.

Bayesian optimization for maximum power point tracking in photovoltaic power plants

Andreas Krause, Jan Poland, Felix Berkenkamp, 2016, 2016 European Control Conference (ECC).

Coordinated Online Learning With Applications to Learning User Preferences pdf

Andreas Krause, Sebastian Tschiatschek, Adish Singla, 2017, ArXiv.

Evaluating GANs via Duality pdf

Andreas Krause, Thomas Hofmann, Aurélien Lucchi, 2018, ArXiv.

Unfreezing the robot: Navigation in dense, interacting crowds

Andreas Krause, Peter Trautman, Andreas Krause, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Scalable k -Means Clustering via Lightweight Coresets

Andreas Krause, Olivier Bachem, Mario Lucic, 2017, KDD.

Evaluating Task-Dependent Taxonomies for Navigation

Andreas Krause, Dieter Fox, Adish Singla, 2016, HCOMP.

Cost-effective outbreak detection in networks

Andreas Krause, Christos Faloutsos, Jure Leskovec, 2007, KDD '07.

Scalable Training of Mixture Models via Coresets

Andreas Krause, Matthew Faulkner, Dan Feldman, 2011, NIPS.

Practical Coreset Constructions for Machine Learning

Andreas Krause, Olivier Bachem, Mario Lucic, 2017, 1703.06476.

Training Gaussian Mixture Models at Scale via Coresets

Andreas Krause, Matthew Faulkner, Dan Feldman, 2017, J. Mach. Learn. Res..

A Specification Language for Gibbs Sampling

Andreas Krause, Song Jin, Peter Hartmann, 1994 .

SenSay: a context-aware mobile phone

Andreas Krause, Daniel P. Siewiorek, Asim Smailagic, 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..

Online Learning of Assignments that Maximize Submodular Functions pdf

Andreas Krause, Matthew J. Streeter, Daniel Golovin, 2009, ArXiv.

Distributed Submodular Maximization pdf

Andreas Krause, Baharan Mirzasoleiman, Amin Karbasi, 2014, J. Mach. Learn. Res..

Community sense and response systems: your phone as quake detector

Andreas Krause, K. Mani Chandy, Matthew Faulkner, 2014, CACM.

Trading off prediction accuracy and power consumption for context-aware wearable computing

Andreas Krause, Daniel P. Siewiorek, Asim Smailagic, 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).

Scalable and Distributed Clustering via Lightweight Coresets pdf

Andreas Krause, Olivier Bachem, Mario Lucic, 2017, ArXiv.

A fresh perspective: Learning to sparsify for detection in massive noisy sensor networks

Andreas Krause, Matthew Faulkner, Annie H. Liu, 2013, 2013 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

Interactive Submodular Bandit

Andreas Krause, Amin Karbasi, Lin Chen, 2017, NIPS.

Online Variance Reduction for Stochastic Optimization pdf

Andreas Krause, Kfir Y. Levy, Zalan Borsos, 2018, COLT.

Higher-Order Inference for Multi-class Log-Supermodular Models

Andreas Krause, Jian Zhang, Josip Djolonga, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Navigating the protein fitness landscape with Gaussian processes

Andreas Krause, Frances H Arnold, Philip A. Romero, 2012, Proceedings of the National Academy of Sciences.

Efficient Sampling for Learning Sparse Additive Models in High Dimensions

Andreas Krause, Hemant Tyagi, Bernd Gärtner, 2014, NIPS.

Efficient Planning of Informative Paths for Multiple Robots

Andreas Krause, Maxim A. Batalin, William J. Kaiser, 2006, IJCAI.

Advances in Neural Information Processing Systems (NIPS)

Andreas Krause, Hemant Tyagi, Bernd Gärtner, 2014 .

Improving Optimization-Based Approximate Inference by Clamping Variables

Andreas Krause, Sebastian Tschiatschek, Josip Djolonga, 2017, UAI.

Teaching Multiple Concepts to a Forgetful Learner

Andreas Krause, Pietro Perona, Yisong Yue, 2018, NeurIPS.

Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints pdf

Andreas Krause, Boi Faltings, Adish Singla, 2018, AAAI.

Safe Exploration for Optimization with Gaussian Processes

Alkis Gotovos, Andreas Krause, Joel W. Burdick, 2015, ICML.

Randomized Sensing in Adversarial Environments

Andreas Krause, Daniel Golovin, Alex Roper, 2011, IJCAI.

Gaussian Process Bandits without Regret: An Experimental Design Approach pdf

Andreas Krause, Sham M. Kakade, Matthias W. Seeger, 2009, ArXiv.

Continuous DR-submodular Maximization: Structure and Algorithms

Andreas Krause, Joachim M. Buhmann, Kfir Y. Levy, 2017, NIPS 2017.

Proper Proxy Scoring Rules

Andreas Krause, Lyle H. Ungar, Jens Witkowski, 2017, AAAI.

Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features

Andreas Krause, Mojmir Mutny, Andreas Krause, 2018, NeurIPS.

Discovering Valuable items from Massive Data

Andreas Krause, Charles-Antoine Robelin, Donald Kossmann, 2015, KDD.

Sequential Information Maximization: When is Greedy Near-optimal?

Andreas Krause, Amin Karbasi, S. Hamed Hassani, 2015, COLT.

Simultaneous placement and scheduling of sensors

Andreas Krause, Ram Rajagopal, Anupam Gupta, 2009, 2009 International Conference on Information Processing in Sensor Networks.

Adaptive Submodular Optimization under Matroid Constraints pdf

Andreas Krause, Daniel Golovin, Andreas Krause, 2011, ArXiv.

Toward Community Sensing

Andreas Krause, Eric Horvitz, Feng Zhao, 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).

Streaming submodular maximization: massive data summarization on the fly

Andreas Krause, Baharan Mirzasoleiman, Amin Karbasi, 2014, KDD.

High-Dimensional Gaussian Process Bandits

Andreas Krause, Volkan Cevher, Josip Djolonga, 2013, NIPS.

Incentivizing Users for Balancing Bike Sharing Systems

Andreas Krause, Adish Singla, Gábor Bartók, 2015, AAAI.

Uniform Deviation Bounds for k-Means Clustering

Andreas Krause, Olivier Bachem, Mario Lucic, 2017, ICML.

Learning to Hire Teams

Andreas Krause, Eric Horvitz, Pushmeet Kohli, 2015, HCOMP.

Selecting Observations against Adversarial Objectives

Andreas Krause, Anupam Gupta, Carlos Guestrin, 2007, NIPS.

Sampling from Probabilistic Submodular Models

Alkis Gotovos, Andreas Krause, S. Hamed Hassani, 2015, NIPS.

Discrete Sampling using Semigradient-based Product Mixtures

Alkis Gotovos, Andreas Krause, Stefanie Jegelka, 2018, UAI.

Mobile decision support for transplantation patient data

Andreas Krause, Fabian J. Theis, Dominik Hartl, 2004, Int. J. Medical Informatics.

Active Detection via Adaptive Submodularity

Andreas Krause, Lian Pin Koh, Yuxin Chen, 2014, ICML.

Predicting program properties from 'big code'

Andreas Krause, Martin T. Vechev, Veselin Raychev, 2019, Commun. ACM.

Information Gathering in Networks via Active Exploration

Andreas Krause, Ryen W. White, Eric Horvitz, 2015, IJCAI.

An Online Learning Approach to Generative Adversarial Networks pdf

Andreas Krause, Thomas Hofmann, Aurélien Lucchi, 2017, ICLR.

A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions

Andreas Krause, Maarten Speekenbrink, Eric Schulz, 2016, bioRxiv.

Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization

Andreas Krause, Daniel Golovin, Andreas Krause, 2010, J. Artif. Intell. Res..

Attaching a flywheel to the crankshaft of an engine

Andreas Krause, Achim Link, Reinhold Weidinger, 1996 .

Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting

Andreas Krause, Sham M. Kakade, Matthias W. Seeger, 2009, IEEE Transactions on Information Theory.

Actively Learning Hemimetrics with Applications to Eliciting User Preferences pdf

Andreas Krause, Sebastian Tschiatschek, Adish Singla, 2016, ICML.

Linear-Time Outlier Detection via Sensitivity

Andreas Krause, Olivier Bachem, Mario Lucic, 2016, IJCAI.

Predicting Program Properties from "Big Code"

Andreas Krause, Martin T. Vechev, Veselin Raychev, 2015, POPL.

Distributed and Provably Good Seedings for k-Means in Constant Rounds

Andreas Krause, Olivier Bachem, Mario Lucic, 2017, ICML.

Submodular Surrogates for Value of Information

Andreas Krause, Siddhartha S. Srinivasa, Amin Karbasi, 2015, AAAI.

Selecting Sequences of Items via Submodular Maximization

Andreas Krause, Sebastian Tschiatschek, Adish Singla, 2017, AAAI.

The Caltech CSN project collects sensor data from thousands of personal devices for realtime response to dangerous earthquakes

Andreas Krause, K. Mani Chandy, Matthew Faulkner, 2014 .

Truthful incentives in crowdsourcing tasks using regret minimization mechanisms

Andreas Krause, Adish Singla, Andreas Krause, 2013, WWW.

Predicting crashes in a model of self-organized criticality

Andreas Krause, Andreas Krause, 2002 .

Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization

Andreas Krause, Daniel Golovin, Andreas Krause, 2010, COLT 2010.

"Smart" design space sampling to predict Pareto-optimal solutions

Andreas Krause, Markus Püschel, Peter A. Milder, 2012, LCTES '12.

Optimizing Sensor Placements in Water Distribution Systems Using Submodular Function Maximization

Andreas Krause, Jure Leskovec, Jianhua Xu, 2008 .

Budgeted Nonparametric Learning from Data Streams

Andreas Krause, Ryan Gomes, Andreas Krause, 2010, ICML.

A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions

Andreas Krause, Maarten Speekenbrink, Eric Schulz, 2017 .

Near Optimal Bayesian Active Learning for Decision Making pdf

Andreas Krause, Siddhartha S. Srinivasa, Amin Karbasi, 2014, AISTATS.

Learning-based Model Predictive Control for Safe Reinforcement Learning

Andreas Krause, Torsten Koller, Felix Berkenkamp, 2019 .

Efficient Partial Monitoring with Prior Information

Andreas Krause, Gábor Bartók, Hastagiri P. Vanchinathan, 2014, NIPS.

Joint Optimization and Variable Selection of High-dimensional Gaussian Processes

Andreas Krause, Bo Chen, Rui M. Castro, 2012, ICML.

Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2007, ICML '07.

Robust sensor placements at informative and communication-efficient locations

Andreas Krause, Jon M. Kleinberg, Anupam Gupta, 2011, TOSN.

Truthful Incentives for Privacy Tradeo: Mechanisms for Data Gathering in Community Sensing

Andreas Krause, Adish Singla, 2013 .

Dynamic Resource Allocation in Conservation Planning

Andreas Krause, Sarah J. Converse, Beth Gardner, 2011, AAAI.

Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization

Andreas Krause, Stefan Schaal, Sebastian Trimpe, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Information-Directed Exploration for Deep Reinforcement Learning pdf

Andreas Krause, Johannes Kirschner, Felix Berkenkamp, 2018, ICLR.

Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization

Andreas Krause, Baharan Mirzasoleiman, Eric Balkanski, 2016, ICML.

Submodular Optimization in Sensor and Social Networks - Parts I and II

Andreas Krause, Andreas Krause, 2012 .

Building Collaborative Teams: A Local Navigation-based Approach

Andreas Krause, Ryen W. White, Eric Horvitz, 2014 .

Crowd Access Path Optimization: Diversity Matters

Andreas Krause, Anja Gruenheid, Donald Kossmann, 2015, HCOMP.

Robust, low-cost, non-intrusive sensing and recognition of seated postures

Andreas Krause, Bilge Mutlu, Jessica K. Hodgins, 2007, UIST.

Optimizing waypoints for monitoring spatiotemporal phenomena

Gaurav S. Sukhatme, Andreas Krause, Jonathan Binney, 2013, Int. J. Robotics Res..

Robot navigation in dense human crowds: Statistical models and experimental studies of human–robot cooperation

Andreas Krause, Richard M. Murray, Jeremy Ma, 2015, Int. J. Robotics Res..

Multi-Player Bandits: The Adversarial Case pdf

Andreas Krause, Kfir Y. Levy, Pragnya Alatur, 2019, J. Mach. Learn. Res..

Learning User Preferences to Incentivize Exploration in the Sharing Economy pdf

Andreas Krause, Sebastian Tschiatschek, Adish Singla, 2017, AAAI.

Distributed Submodular Maximization: Identifying Representative Elements in Massive Data

Andreas Krause, Baharan Mirzasoleiman, Amin Karbasi, 2013, NIPS.

Online distributed sensor selection pdf

Andreas Krause, Matthew Faulkner, Daniel Golovin, 2010, IPSN '10.

Nonmyopic Informative Path Planning in Spatio-Temporal Models

Andreas Krause, Joseph M. Hellerstein, Carlos Guestrin, 2007, AAAI.

Optimal Value of Information in Graphical Models pdf

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2009, J. Artif. Intell. Res..

Generating networks with realistic properties:the topology of locally evolving random graphs

Andreas Krause, Andreas Krause, 2006 .

Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning pdf

Andreas Krause, Amin Karbasi, Mesrob I. Ohannessian, 2015, AISTATS.

Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference

Andreas Krause, Joachim M. Buhmann, Yatao A. Bian, 2019, ICML.

Scalable Variational Inference in Log-supermodular Models

Andreas Krause, Josip Djolonga, Andreas Krause, 2015, ICML.

Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures

Andreas Krause, Olivier Bachem, Mario Lucic, 2015, AISTATS.

Coresets for Nonparametric Estimation - the Case of DP-Means

Andreas Krause, Olivier Bachem, Mario Lucic, 2015, ICML.

Unsupervised, dynamic identification of physiological and activity context in wearable computing

Andreas Krause, Daniel P. Siewiorek, Asim Smailagic, 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..

Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks

Andreas Krause, Christos Faloutsos, Jure Leskovec, 2008 .

No-regret Bayesian Optimization with Unknown Hyperparameters

Andreas Krause, Angela P. Schoellig, Felix Berkenkamp, 2019, J. Mach. Learn. Res..

Mobile wireless acess to EHR and PACS in clinical practice

Andreas Krause, Dominik Hartl, Alexander T. Mehlhorn, 2003, MoCoMed.

Cooperative Graphical Models

Andreas Krause, Sebastian Tschiatschek, Stefanie Jegelka, 2016, NIPS.

Context-aware mobile computing: learning context- dependent personal preferences from a wearable sensor array

Andreas Krause, Daniel P. Siewiorek, Asim Smailagic, 2006, IEEE Transactions on Mobile Computing.

Mixed-Variable Bayesian Optimization

Andreas Krause, Matteo Turchetta, Anastasia Makarova, 2020, IJCAI.

Differentially Private Submodular Maximization: Data Summarization in Disguise

Andreas Krause, Amin Karbasi, Marko Mitrovic, 2017, ICML.

Efficient Minimization of Decomposable Submodular Functions

Andreas Krause, Peter Stobbe, Andreas Krause, 2010, NIPS.

Community sense-and-response systems: Your phone as seismometer

Andreas Krause, 2014, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS).

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

Andreas Krause, Volkan Cevher, Jonathan Scarlett, 2016, NIPS.

Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies

Andreas Krause, Carlos Guestrin, Ajit Paul Singh, 2008, J. Mach. Learn. Res..

Safe Convex Learning under Uncertain Constraints

Andreas Krause, Maryam Kamgarpour, Ilnura Usmanova, 2019, AISTATS.

Guarantees for Greedy Maximization of Non-submodular Functions with Applications pdf

Andreas Krause, Joachim M. Buhmann, Sebastian Tschiatschek, 2017, ICML.

Adaptive Sequence Submodularity

Andreas Krause, Amin Karbasi, Marko Mitrovic, 2019, NeurIPS.

Submodular Function Maximization

Andreas Krause, Daniel Golovin, Andreas Krause, 2014, Tractability.

A tutorial on Gaussian process regression with a focus on exploration-exploitation scenarios

Andreas Krause, Maarten Speekenbrink, Eric Schulz, 2016 .

Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms

Andreas Krause, Joachim M. Buhmann, Kfir Y. Levy, 2017, NIPS.

Safe learning of regions of attraction for uncertain, nonlinear systems with Gaussian processes

Andreas Krause, Angela P. Schoellig, Felix Berkenkamp, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Nonparametric Representations for Integrated Inference, Control, and Sensing

Andreas Krause, Trevor Darrell, John W. Fisher, 2015 .

Active Learning for Multi-Objective Optimization

Andreas Krause, Markus Püschel, Guillaume Sergent, 2013, ICML.

Building Hierarchies of Concepts via Crowdsourcing pdf

Andreas Krause, Dieter Fox, Adish Singla, 2015, IJCAI.

Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior Demonstrations

Andreas Krause, Roland Siegwart, Cesar Cadena, 2018, IEEE Robotics and Automation Letters.

The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms

Avi Ostfeld, Andreas Krause, Marios M. Polycarpou, 2008 .

A standard curve based method for relative real time PCR data processing

Andreas Krause, William Miller, Alexey Larionov, 2005, BMC Bioinformatics.

Lazier Than Lazy Greedy pdf

Andreas Krause, Baharan Mirzasoleiman, Amin Karbasi, 2014, AAAI.

ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems pdf

Philippe Wenk, Stefan Bauer, Andreas Krause, 2019, AAAI.

Submodularity on Hypergraphs: From Sets to Sequences

Andreas Krause, Amin Karbasi, Marko Mitrovic, 2018, AISTATS.

Unsupervised Imitation Learning pdf

Andreas Krause, Sebastian Curi, Kfir Y. Levy, 2018, ArXiv.

Submodularity and its applications in optimized information gathering

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2011, TIST.

Data association for topic intensity tracking

Andreas Krause, Jure Leskovec, Carlos Guestrin, 2006, ICML '06.

Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation

Andreas Krause, Sebastian Tschiatschek, Josip Djolonga, 2016, AISTATS.

Connecting a flywheel to the crankshaft

Andreas Krause, Achim Link, Reinhold Weidinger, 1995 .

Robust landmark selection for mobile robot navigation

Wolfram Burgard, Andreas Krause, Jörg Müller, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Robot navigation in dense human crowds: the case for cooperation

Andreas Krause, Richard M. Murray, Jeremy Ma, 2013, 2013 IEEE International Conference on Robotics and Automation.

A fresh perspective: Learning to sparsify for detection in massive noisy sensor networks

Andreas Krause, Annie H. Liu, Annie H. Liu, 2013, 2013 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

Submodularity in Machine Learning and Vision

Andreas Krause, Andreas Krause, 2013, BMVC.

Safe Model-based Reinforcement Learning with Stability Guarantees

Andreas Krause, Angela P. Schoellig, Felix Berkenkamp, 2017, NIPS.

Efficient visual exploration and coverage with a micro aerial vehicle in unknown environments

Alkis Gotovos, Andreas Krause, Marc Pollefeys, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Uniform Deviation Bounds for Unbounded Loss Functions like k-Means pdf

Andreas Krause, Olivier Bachem, Mario Lucic, 2017, ICML 2017.

Variational Inference in Mixed Probabilistic Submodular Models

Andreas Krause, Sebastian Tschiatschek, Josip Djolonga, 2016, NIPS.

Discriminative Clustering by Regularized Information Maximization

Andreas Krause, Pietro Perona, Ryan Gomes, 2010, NIPS.

Efficient Informative Sensing using Multiple Robots

Andreas Krause, William J. Kaiser, Carlos Guestrin, 2014, J. Artif. Intell. Res..

Nonmyopic Adaptive Informative Path Planning for Multiple Robots

Andreas Krause, William J. Kaiser, Amarjeet Singh, 2009, IJCAI.

PDA-based decision support and documentation for transplantation surgery data

Andreas Krause, Dominik Hartl, Manfred Stangl, 2003, MoCoMed.

Intelligent light control using sensor networks

Andreas Krause, James H. Garrett, Carlos Guestrin, 2005, SenSys '05.

Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains

Andreas Krause, Joachim M. Buhmann, Baharan Mirzasoleiman, 2016, AISTATS.

Learning Sparse Additive Models with Interactions in High Dimensions pdf

Andreas Krause, Anastasios Kyrillidis, Hemant Tyagi, 2016, AISTATS.

Greedy Dictionary Selection for Sparse Representation

Andreas Krause, Volkan Cevher, Andreas Krause, 2011, IEEE Journal of Selected Topics in Signal Processing.

e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem

Andreas Krause, Markus Püschel, Marcela Zuluaga, 2016, J. Mach. Learn. Res..

Robust Sensor Placement for Detecting Adversarial Contaminations in Water Distribution Systems

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2009 .

Near-optimal Nonmyopic Value of Information in Graphical Models pdf

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2005, UAI.

Structured Variational Inference in Unstable Gaussian Process State Space Models pdf

Andreas Krause, Felix Berkenkamp, Sebastian Curi, 2019, ArXiv.

Learning Implicit Generative Models Using Differentiable Graph Tests pdf

Andreas Krause, Josip Djolonga, Andreas Krause, 2017, ArXiv.

Optimal DR-Submodular Maximization and Applications to Provable Mean Field Inference pdf

Andreas Krause, Joachim M. Buhmann, An Bian, 2018, ICML 2019.

From MAP to Marginals: Variational Inference in Bayesian Submodular Models

Andreas Krause, Josip Djolonga, Andreas Krause, 2014, NIPS.

Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization

Andreas Krause, Joel W. Burdick, Thomas Desautels, 2012, ICML.

Online Submodular Maximization under a Matroid Constraint with Application to Learning Assignments pdf

Andreas Krause, Matthew J. Streeter, Daniel Golovin, 2014, ArXiv.

Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly

Andreas Krause, Baharan Mirzasoleiman, Stefanie Jegelka, 2017, AAAI.

Explore-exploit in top-N recommender systems via Gaussian processes

Andreas Krause, Fabio De Bona, Hastagiri P. Vanchinathan, 2014, RecSys '14.

Concepts and Principles of Clinical Data Graphics

Andreas Krause, A. Krause, 2012 .

Online Learning of Assignments

Andreas Krause, Matthew J. Streeter, Daniel Golovin, 2009, NIPS.

Submodular Dictionary Selection for Sparse Representation

Andreas Krause, Volkan Cevher, Andreas Krause, 2010, ICML.

No-Regret Learning in Unknown Games with Correlated Payoffs

Andreas Krause, Maryam Kamgarpour, Pier Giuseppe Sessa, 2019, NeurIPS.

Noise Regularization for Conditional Density Estimation pdf

Andreas Krause, Tamim Asfour, Jonas Rothfuss, 2019, ArXiv.

Learning programs from noisy data

Andreas Krause, Martin T. Vechev, Pavol Bielik, 2016, POPL.

Privacy, Personalization, and the Web: A Utility-Theoretic Approach

Andreas Krause, Eric Horvitz, E. Horvitz, 2007 .

Horizontally Scalable Submodular Maximization pdf

Morteza Zadimoghaddam, Andreas Krause, Olivier Bachem, 2016, ICML.

Community Seismic Network

Andreas Krause, Michael Olson, Rishi Chandy, 2012 .

Learning Fourier Sparse Set Functions

Andreas Krause, Peter Stobbe, Andreas Krause, 2012, AISTATS.

Constrained Bayesian Optimization with Particle Swarms for Safe Adaptive Controller Tuning

Andreas Krause, Angela P. Schoellig, Nicolas Carion, 2017 .

Active Learning for Level Set Estimation

Alkis Gotovos, Andreas Krause, Nathalie Casati, 2022 .

Sequential Decision Making in Computational Sustainability via Adaptive Submodularity

Andreas Krause, Sarah J. Converse, Daniel Golovin, 2014, AI Mag..

Non-Monotone Adaptive Submodular Maximization

Alkis Gotovos, Andreas Krause, Amin Karbasi, 2015, IJCAI.

SFO: A Toolbox for Submodular Function Optimization

Andreas Krause, Andreas Krause, 2010, J. Mach. Learn. Res..

Incentives for Privacy Tradeoff in Community Sensing pdf

Andreas Krause, Adish Singla, Andreas Krause, 2013, HCOMP.

Dynamic Learning, Herding and Guru Effects in Networks

Andreas Krause, Sheri M Markose, Amadeo Alentorn, 2004 .

Development and implementation of a parallel algorithm for the fast design of oligonucleotide probe sets for diagnostic DNA microarrays

Andreas Krause, Arndt Bode, Harald Meier, 2004, Concurr. Pract. Exp..

Near-Optimal Bayesian Active Learning with Noisy Observations

Andreas Krause, Daniel Golovin, Debajyoti Ray, 2010, NIPS.

Learning to Use Learners' Advice pdf

Andreas Krause, Adish Singla, Seyed Hamed Hassani, 2017, ArXiv.

Fully Autonomous Focused Exploration for Robotic Environmental Monitoring

Alkis Gotovos, Andreas Krause, Roland Siegwart, 2014, ICRA 2014.

Near-optimal Observation Selection using Submodular Functions

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2007, AAAI.

Near-Optimally Teaching the Crowd to Classify pdf

Andreas Krause, Amin Karbasi, Adish Singla, 2014, ICML.

Mobile Robotic Painting of Texture

Andreas Krause, Stephan Mandt, Paul Beardsley, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Distributed Submodular Cover: Succinctly Summarizing Massive Data

Andreas Krause, Baharan Mirzasoleiman, Amin Karbasi, 2015, NIPS.

Better safe than sorry: Risky function exploitation through safe optimization pdf

Andreas Krause, Maarten Speekenbrink, Dominik R. Bach, 2016, CogSci.

Safe Exploration in Finite Markov Decision Processes with Gaussian Processes

Andreas Krause, Felix Berkenkamp, Matteo Turchetta, 2016, NIPS.

Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics pdf

Andreas Krause, Angela P. Schoellig, Felix Berkenkamp, 2016, Machine Learning.

Fast and Provably Good Seedings for k-Means

Andreas Krause, Olivier Bachem, Mario Lucic, 2016, NIPS.

Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization

Andreas Krause, Yuxin Chen, Andreas Krause, 2013, ICML.

Accurate method for fast design of diagnostic oligonucleotide probe sets for DNA microarrays

Andreas Krause, Harald Meier, Markus Kräutner, 2003, Proceedings International Parallel and Distributed Processing Symposium.

Optimizing sensing: theory and applications

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2008 .

Regret Bounds for Gaussian-Process Optimization in Large Domains pdf

Andreas Krause, Bernhard Scholkopf, Manuel Wuthrich, 2021, ArXiv.

Proximal Optimal Transport Modeling of Population Dynamics

Andreas Krause, Marco Cuturi, Charlotte Bunne, 2021 .

Safe and Efficient Model-free Adaptive Control via Bayesian Optimization

Andreas Krause, John Lygeros, Alisa Rupenyan, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes pdf

Andreas Krause, Elvis Nava, Mojm'ir Mutn'y, 2021, ArXiv.

Sensing Cox Processes via Posterior Sampling and Positive Bases pdf

Andreas Krause, Mojm'ir Mutn'y, 2021, ArXiv.

JKOnet: Proximal Optimal Transport Modeling of Population Dynamics pdf

Andreas Krause, Marco Cuturi, Charlotte Bunne, 2021, ArXiv.

Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning pdf

Andreas Krause, Ilija Bogunovic, Barna Pasztor, 2021, ArXiv.

Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation pdf

Andreas Krause, Konrad Schindler, Mikhail Usvyatsov, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models pdf

Philippe Wenk, Andreas Krause, Florian Dorfler, 2021, NeurIPS.

Hierarchical Skills for Efficient Exploration pdf

Andreas Krause, Nicolas Usunier, Gabriel Synnaeve, 2021, NeurIPS.

Bayesian optimisation for fast and safe parameter tuning of SwissFEL

Andreas Krause, Johannes Kirschner, Rasmus Ischebeck, 2019 .

Multimodal Projection Pursuit using the Dip Statistic

Andreas Krause, 2005 .