about
sameAs
Mobile decision support for transplantation patient data.SCHEMA-designed variants of human Arginase I and II reveal sequence elements important to stability and catalysis.Navigating the protein fitness landscape with Gaussian processesInteractive Submodular BanditNon-monotone Continuous DR-submodular Maximization: Structure and AlgorithmsSafe Model-based Reinforcement Learning with Stability GuaranteesDifferentiable Learning of Submodular FunctionsStochastic Submodular Maximization: The Case of Coverage FunctionsFast and Provably Good Seedings for k-MeansCooperative Graphical ModelsTruncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set EstimationVariational Inference in Mixed Probabilistic Submodular ModelsSafe Exploration in Finite Markov Decision Processes with Gaussian ProcessesGeneralization and Search in Risky EnvironmentsThe Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and AlgorithmsFairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision MakingProvable Variational Inference for Constrained Log-Submodular ModelsEfficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier FeaturesCost-effective outbreak detection in networksRobot navigation in dense human crowds: Statistical models and experimental studies of human–robot cooperationCommunity sense and response systemsOptimizing waypoints for monitoring spatiotemporal phenomenaInferring Networks of Diffusion and InfluenceRobust sensor placements at informative and communication-efficient locationsSimultaneous Optimization of Sensor Placements and Balanced SchedulesOptimizing Sensing: From Water to the WebContext-aware mobile computing: learning context- dependent personal preferences from a wearable sensor arrayInferring networks of diffusion and influenceEfficient Sensor Placement Optimization for Securing Large Water Distribution NetworksOptimizing Sensor Placements in Water Distribution Systems Using Submodular Function MaximizationData association for topic intensity trackingReinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior DemonstrationsA tutorial on Gaussian process regression: Modelling, exploring, and exploiting functionsGeneralization and search in risky environmentsA tutorial on Gaussian process regression: Modelling, exploring, and exploiting functionsSafe Exploration for Interactive Machine LearningTeaching Multiple Concepts to a Forgetful LearnerAdaptive Sequence SubmodularityA Domain Agnostic Measure for Monitoring and Evaluating GANsNo-Regret Learning in Unknown Games with Correlated Payoffs
P50
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P50
description
kunstmatige intelligentie-onderzoeker
@nl
machine learning researcher at ETH Zurich
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maskinlæringsforsker ved ETH Zurich
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Andreas Krause
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Andreas Krause
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Andreas Krause
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Andreas Krause
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Andreas Krause
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Andreas Krause
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Andreas Krause
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