Andreas Krause

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

Gaussian Process Bandits: An Experimental Design Approach

Andreas Krause, M. Seeger, Niranjan Srinivas, 2009 .

Submodular Surrogates for Value of Information

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

Efficient Planning of Informative Paths for Multiple Robots

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

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

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

Safe Exploration for Optimization with Gaussian Processes

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

Efficient Informative Sensing using Multiple Robots

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

Near-optimal sensor placements in Gaussian processes

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

Truthful incentives in crowdsourcing tasks using regret minimization mechanisms

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

Cost-effective outbreak detection in networks

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

No-Regret Learning in Unknown Games with Correlated Payoffs

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

Distributed Submodular Maximization: Identifying Representative Elements in Massive Data

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

Contextual Gaussian Process Bandit Optimization

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

Submodularity and its applications in optimized information gathering

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

Safe Model-based Reinforcement Learning with Stability Guarantees

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

A Utility-Theoretic Approach to Privacy in Online Services pdf

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

Toward Community Sensing

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

Robust sensor placements at informative and communication-efficient locations

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

Intelligent light control using sensor networks

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

Scalable Training of Mixture Models via Coresets

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

Simultaneous placement and scheduling of sensors

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

Greedy Dictionary Selection for Sparse Representation

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

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

S. Kakade, Andreas Krause, M. Seeger, 2012, IEEE Transactions on Information Theory.

Community sense and response systems: your phone as quake detector

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

M L ] 5 M ar 2 01 8 Differentiable Submodular Maximization

Andreas Krause, Sebastian Tschiatschek, Aytunc Sahin, 2019 .

Decision Region Determination for Touch Based Localization

S. Srinivasa, Andreas Krause, J. Bagnell, 2014 .

Sequential Decision Making in Computational Sustainability Through Adaptive Submodularity

Andreas Krause, D. Golovin, S. Converse, 2014 .

K-MC 2 : Approximate K-Means + + in Sublinear Time

Andreas Krause, Mario Lucic, Olivier Bachem, 2015 .

Sensor Placement for Outbreak Detection in Computer Security

H. B. McMahan, Carlos Guestrin, Andreas Krause, 2007 .

Fully Autonomous Focused Exploration for Robotic Environmental Monitoring

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

JKOnet: Proximal Optimal Transport Modeling of Population Dynamics pdf

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

Community Seismic Network (CSN)

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

TCMP AWDYAWHR AQRY ACLK ACRY TREG TWLD TART TREF ACTY TBUS THEA TREC AZIP TNWS TSPT TSHP TSOC AFRQ TSCI ATLV TKID DREG TADT THOM

E. Horvitz, Andreas Krause, 2007 .

Submodularity in Machine Learning and Vision

Andreas Krause, Andreas Krause, 2013, BMVC.

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

Andreas Krause, Andreas Krause, 2012 .

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

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

Generalization and search in risky environments

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

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

S. Kakade, Andreas Krause, M. Seeger, 2012, IEEE Transactions on Information Theory.

Mobile wireless acess to EHR and PACS in clinical practice

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

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).

No-Regret Learning in Unknown Games with Correlated Payoffs

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

Constrained Maximization of Lattice Submodular Functions

J. Buhmann, Andreas Krause, Aytunc Sahin, 2020 .

Isotropic Gaussian Processes on Finite Spaces of Graphs

Vignesh Ram Somnath, Mohammad Reza Karimi, Andreas Krause, 2022, 2211.01689.

Komorbiditäten

Andreas Krause, K. Krüger, 2019, Zeitschrift fur Rheumatologie.

Impacts of land cover changes and global warming on climate in Colombia during ENSO events

Andreas Krause, A. Rammig, B. Quesada, 2022, Climate Dynamics.

Isotropic Gaussian Processes on Finite Spaces of Graphs

Vignesh Ram Somnath, Mohammad Reza Karimi, Andreas Krause, 2022, ArXiv.

Active Detection via Adaptive Submodularity

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

Distributed Submodular Maximization pdf

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

Submodular Function Maximization

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

Practical Coreset Constructions for Machine Learning

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

Robust Sensor Placement for Detecting Adversarial Contaminations in Water Distribution Systems

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2009 .

Optimizing sensing: theory and applications

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2008 .

Approximate K-Means++ in Sublinear Time

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

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

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

Linear-Time Outlier Detection via Sensitivity

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

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

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

Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features

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

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).

Unsupervised Imitation Learning pdf

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

Nonmyopic Informative Path Planning in Spatio-Temporal Models

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

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).

Proximal Optimal Transport Modeling of Population Dynamics

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

Joint Optimization and Variable Selection of High-dimensional Gaussian Processes

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

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

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

Learning Graph Models for Retrosynthesis Prediction

Connor W. Coley, Vignesh Ram Somnath, Andreas Krause, 2020, NeurIPS.

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

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

Coresets for Nonparametric Estimation - the Case of DP-Means

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

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

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

Selecting Observations against Adversarial Objectives

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

Learning Sparse Additive Models with Interactions in High Dimensions pdf

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

TNFi is associated with positive outcome, but JAKi and rituximab are associated with negative outcome of SARS-CoV-2 infection in patients with RMD

Andreas Krause, Hanns-Martin Lorenz, A. Regierer, 2021, RMD Open.

Not So Randomly Typing Monkeys – Rank-frequency Behavior of Natural and Artificial Languages

Andreas Krause, Andreas Zollmann, 2005 .

Learning Implicit Generative Models Using Differentiable Graph Tests pdf

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

Information Directed Sampling and Bandits with Heteroscedastic Noise

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

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

Andreas Krause, Maarten Speekenbrink, Eric Schulz, 2016 .

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.

Bayesian Rapid Optimal Adaptive Design (BROAD): Method and application distinguishing models of risky choice

Andreas Krause, Colin Camerer, D. Golovin, 2019 .

Predicting Program Properties from "Big Code"

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

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.

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.

THU0443 Increasing Disparities between Physician Assessment of Disease Activity and Patient Global Health in Germany between 2000 and 2012

Andreas Krause, S. Wassenberg, A. Zink, 2014 .

Discrete Sampling using Semigradient-based Product Mixtures

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

Learning-based Model Predictive Control for Safe Reinforcement Learning

Andreas Krause, Torsten Koller, Felix Berkenkamp, 2019 .

Near-Optimally Teaching the Crowd to Classify pdf

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

Optimizing waypoints for monitoring spatiotemporal phenomena

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

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

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

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.

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

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

Informative path planning for an autonomous underwater vehicle

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

Adaptive Sequence Submodularity

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

Submodularity on Hypergraphs: From Sets to Sequences

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

Selecting Sequences of Items via Submodular Maximization

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

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

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

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

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

Submodular Dictionary Selection for Sparse Representation

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

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

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

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.

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

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

Safe Convex Learning under Uncertain Constraints

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

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..

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..

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

Andreas Krause, Ilija Bogunovic, Barna Pasztor, 2021, Trans. Mach. Learn. Res..

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

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

The sensitivity of global wildfires to simulated past, present, and future lightning frequency

Andreas Krause, S. Kloster, Stiig Wilkenskjeld, 2014 .

Community Seismic Network

Andreas Krause, Michael Olson, Rishi Chandy, 2012 .

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

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

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.

Training Gaussian Mixture Models at Scale via Coresets

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

Active Learning for Multi-Objective Optimization

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

Safe Exploration in Finite Markov Decision Processes with Gaussian Processes

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

Incentive-Compatible Forecasting Competitions pdf

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

Learning programs from noisy data

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

Proper Proxy Scoring Rules

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

Characteristics and outcomes of SARS-CoV-2 breakthrough infections among double-vaccinated and triple-vaccinated patients with inflammatory rheumatic diseases

Andreas Krause, Hanns-Martin Lorenz, A. Regierer, 2023, RMD Open.

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

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

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

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

Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation

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

From MAP to Marginals: Variational Inference in Bayesian Submodular Models

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

Differentiable Submodular Maximization

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

Online Variance Reduction with Mixtures pdf

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

Online Variance Reduction for Stochastic Optimization pdf

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

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

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

Information-Directed Exploration for Deep Reinforcement Learning pdf

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

A survey to evaluate knowledge, perceptions and attitudes toward COVID-19 vaccinations among rheumatologists in Germany

Andreas Krause, U. Müller-Ladner, H. Lorenz, 2021, Rheumatology International.

Learning Long-Term Crop Management Strategies with CyclesGym

J. Buhmann, Andreas Krause, M. Turchetta, 2022, NeurIPS.

Constrained Bayesian Optimization with Particle Swarms for Safe Adaptive Controller Tuning

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

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).

A Utility-Theoretic Approach to Privacy and Personalization

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

Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models pdf

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

Noise Regularization for Conditional Density Estimation pdf

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

Crowd Access Path Optimization: Diversity Matters

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

Dynamic Resource Allocation in Conservation Planning

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

Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization

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

Updated recommendations of the German Society for Rheumatology for the care of patients with inflammatory rheumatic diseases in the context of the SARS-CoV-2/COVID-19 pandemic, including recommendations for COVID-19 vaccination

Andreas Krause, R. Fischer-Betz, Matthias Schneider, 2021, Zeitschrift für Rheumatologie.

Learning Fourier Sparse Set Functions

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

Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs

Nico S. Gorbach, J. Buhmann, Andreas Krause, 2018, AISTATS.

OP0283 DOES TNF-INHIBITION DECREASE THE RISK OF SEVERE COVID-19 IN RMD-PATIENTS?

Andreas Krause, U. Müller-Ladner, A. Regierer, 2021, Annals of the Rheumatic Diseases.

Evaluating GANs via Duality pdf

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

Mixed-Variable Bayesian Optimization

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

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

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

Optimal Value of Information in Graphical Models pdf

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

No-regret Bayesian Optimization with Unknown Hyperparameters

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

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

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

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

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

Bayesian optimization for maximum power point tracking in photovoltaic power plants

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

Bayesian optimisation for fast and safe parameter tuning of SwissFEL

Andreas Krause, Johannes Kirschner, Rasmus Ischebeck, 2019 .

Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks

Andreas Krause, Christos Faloutsos, Jure Leskovec, 2008 .

Information Gathering in Networks via Active Exploration

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

Multi-Player Bandits: The Adversarial Case pdf

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

Online distributed sensor selection pdf

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

Near-optimal Observation Selection using Submodular Functions

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

Incentives for Privacy Tradeoff in Community Sensing pdf

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

Hierarchical Skills for Efficient Exploration pdf

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

Efficient Minimization of Decomposable Submodular Functions

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

An Online Learning Approach to Generative Adversarial Networks pdf

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

Scalable k -Means Clustering via Lightweight Coresets

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

Distributed Submodular Cover: Succinctly Summarizing Massive Data

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

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

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

Structured Variational Inference in Unstable Gaussian Process State Space Models pdf

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

Near Optimal Bayesian Active Learning for Decision Making pdf

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

Learning to Hire Teams

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

Regret Bounds for Gaussian-Process Optimization in Large Domains

B. Schölkopf, Andreas Krause, M. Wuthrich, 2021, NeurIPS.

Colloidal Black Gold with Broadband Absorption for Plasmon-Induced Dimerization of 4-Nitrothiophenol and Cross-Linking of Thiolated Diazonium Compound

Andreas Krause, I. Bald, R. Schürmann, 2023, Journal of Physical Chemistry C.

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

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

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

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

Online Learning of Assignments

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

Prognosis of large-vessel giant cell arteritis.

Andreas Krause, E. Gromnica-ihle, A. Krause, 2008, Rheumatology.

Ultrasound of proximal upper extremity arteries to increase the diagnostic yield in large-vessel giant cell arteritis.

Andreas Krause, E. Gromnica-ihle, A. Krause, 2008, Rheumatology.

Verbesserung der Prognose durch frühzeitige Therapie

Andreas Krause, A. Krause, J. Wendler, 2019, Zeitschrift für Rheumatologie.

Fast and Provably Good Seedings for k-Means

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

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

Andreas Krause, D. Golovin, 2010, 1003.3967.

Sequential Information Maximization: When is Greedy Near-optimal?

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

Near-Optimal Bayesian Active Learning with Noisy Observations

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

Non-Monotone Adaptive Submodular Maximization

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

Predicting program properties from 'big code'

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

IL1-receptor antagonist anakinra provides long-lasting efficacy in the treatment of refractory adult-onset Still’s disease

Andreas Krause, G. Burmester, F. Buttgereit, 2010, Annals of the rheumatic diseases.

Scalable and Distributed Clustering via Lightweight Coresets pdf

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

Incentivizing Users for Balancing Bike Sharing Systems

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

Effects of etanercept versus sulfasalazine in early axial spondyloarthritis on active inflammatory lesions as detected by whole-body MRI (ESTHER): a 48-week randomised controlled trial

Andreas Krause, G. Burmester, A. Krause, 2011, Annals of the rheumatic diseases.

Efficacy of sulfasalazine in patients with inflammatory back pain due to undifferentiated spondyloarthritis and early ankylosing spondylitis: a multicentre randomised controlled trial

Andreas Krause, M. Baumgaertner, H. Zeidler, 2006, Annals of the rheumatic diseases.

Continuous DR-submodular Maximization: Structure and Algorithms

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

Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains

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

Persistent clinical efficacy and safety of anti-tumour necrosis factor α therapy with infliximab in patients with ankylosing spondylitis over 5 years: evidence for different types of response

Andreas Krause, H. Zeidler, G. Burmester, 2007, Annals of the rheumatic diseases.

Distributionally Robust Model-based Reinforcement Learning with Large State Spaces

Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic, 2023, AISTATS.

Learning to Interact With Learning Agents

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

Learning to Use Learners' Advice pdf

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

Nonmyopic Adaptive Informative Path Planning for Multiple Robots

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

[German 2012 guidelines for the sequential medical treatment of rheumatoid arthritis. Adapted EULAR recommendations and updated treatment algorithm].

Andreas Krause, C. Baerwald, U. Müller-Ladner, 2012, Zeitschrift fur Rheumatologie.

Adaptive Submodular Optimization under Matroid Constraints pdf

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

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

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

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

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

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

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

Variational Inference in Mixed Probabilistic Submodular Models

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

Impaired sympathetic influence on the immune response in patients with rheumatoid arthritis due to lymphocyte subset-specific modulation of beta 2-adrenergic receptors.

Andreas Krause, C. Baerwald, G. Burmester, 1997, British journal of rheumatology.

Constrained Bayesian Optimization with Particle Swarms for Safe Adaptive Controller Tuning

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

Provable Variational Inference for Constrained Log-Submodular Models

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

Fully autonomous focused exploration for robotic environmental monitoring

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

Legacy Effects from Historical Environmental Changes Dominate Future Terrestrial Carbon Uptake

Andreas Krause, A. Arneth, P. Anthoni, 2020, Earth's Future.

Interactive Submodular Bandit

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

Sensing Cox Processes via Posterior Sampling and Positive Bases

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

Sampling from Probabilistic Submodular Models

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

Scalable Variational Inference in Log-supermodular Models

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

Randomized Sensing in Adversarial Environments

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

SFO: A Toolbox for Submodular Function Optimization

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

Improving Optimization-Based Approximate Inference by Clamping Variables

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

Safe Model-based Reinforcement Learning with Stability Guarantees

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

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

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

Learning User Preferences to Incentivize Exploration in the Sharing Economy pdf

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

Coordinated Online Learning With Applications to Learning User Preferences pdf

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

Sequential Decision Making in Computational Sustainability via Adaptive Submodularity

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

Mobile Robotic Painting of Texture

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

Actively Learning Hemimetrics with Applications to Eliciting User Preferences pdf

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

MPMI Vol

Andreas Krause, A. Sessitsch, P. Hardoim, 2011 .

Optimizing Sensing: From Water to the Web

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

Projection Free Online Learning over Smooth Sets

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

Rituximab in routine care of severe active rheumatoid arthritis

Andreas Krause, U. Müller-Ladner, Hanns-Martin Lorenz, 2018, Zeitschrift für Rheumatologie.

Befragung zu den Arbeits-, Weiterbildungs- und Forschungsbedingungen von Assistenzärztinnen und -ärzten in der internistisch-rheumatologischen Weiterbildung – BEWUSST

Andreas Krause, C. Specker, M. Krusche, 2023, Zeitschrift fur Rheumatologie.

Optimizing Sensor Placements in Water Distribution Systems Using Submodular Function Maximization

Andreas Krause, Jure Leskovec, Jianhua Xu, 2008 .

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

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

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning

Torsten Koller, Felix Berkenkamp, Andreas Krause, 2019, ArXiv.

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).

Discovering Valuable items from Massive Data

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

Contextual Gaussian Process Bandit Optimization

Cheng Soon Ong, Andreas Krause, 2011, NIPS.

Lungenbeteiligung bei rheumatoider Arthritis

Andreas Krause, A. Krause, A. Rubbert-Roth, 2019, Zeitschrift für Rheumatologie.