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List of works by Andreas Krause

A Domain Agnostic Measure for Monitoring and Evaluating GANs

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

scientific article published in August 2018

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

scientific article published on 19 December 2016

Adaptive Sequence Submodularity

Community sense and response systems

article published in 2014

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

Contextual Gaussian Process Bandit Optimization

scientific article published in January 2011

Cooperative Graphical Models

scientific article published in January 2016

Cost-effective outbreak detection in networks

Crowdclustering

scientific article published in January 2011

Data association for topic intensity tracking

Differentiable Learning of Submodular Functions

scientific article published in January 2017

Discriminative Clustering by Regularized Information Maximization

Distributed Submodular Cover: Succinctly Summarizing Massive Data

Distributed Submodular Maximization: Identifying Representative Elements in Massive Data

Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features

Efficient Minimization of Decomposable Submodular Functions

Efficient Partial Monitoring with Prior Information

scientific article published in January 2014

Efficient Sampling for Learning Sparse Additive Models in High Dimensions

scientific article published in January 2014

Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks

article published in 2008

Efficiently Learning Fourier Sparse Set Functions

scientific article published in January 2019

Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making

Fast and Provably Good Seedings for k-Means

scientific article published in January 2016

From MAP to Marginals: Variational Inference in Bayesian Submodular Models

scientific article published in January 2014

Generalization and Search in Risky Environments

scientific article published on 02 November 2018

Generalization and search in risky environments

scientific article published on 30 November 2017

High-Dimensional Gaussian Process Bandits

Inferring Networks of Diffusion and Influence

Inferring networks of diffusion and influence

Interactive Submodular Bandit

scientific article published in January 2017

Mobile decision support for transplantation patient data

scientific article

Navigating the protein fitness landscape with Gaussian processes

scientific article published on 31 December 2012

Near-Optimal Bayesian Active Learning with Noisy Observations

No-Regret Learning in Unknown Games with Correlated Payoffs

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

scientific article published in January 2017

Online Learning of Assignments

scientific article published in January 2009

Optimizing Sensing: From Water to the Web

Optimizing Sensor Placements in Water Distribution Systems Using Submodular Function Maximization

Optimizing waypoints for monitoring spatiotemporal phenomena

Provable Variational Inference for Constrained Log-Submodular Models

article by Josip Djolonga et al published 2018 in Advances in Neural Information Processing Systems 31

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

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

Robust sensor placements at informative and communication-efficient locations

SCHEMA-designed variants of human Arginase I and II reveal sequence elements important to stability and catalysis

scientific article

SFO: A Toolbox for Submodular Function Optimization

scientific article published in 2010

Safe Exploration for Interactive Machine Learning

scientific article published in January 2019

Safe Exploration in Finite Markov Decision Processes with Gaussian Processes

scientific article published in January 2016

Safe Model-based Reinforcement Learning with Stability Guarantees

scientific article published in January 2017

Sampling from Probabilistic Submodular Models

Scalable Training of Mixture Models via Coresets

scientific article published in January 2011

Selecting Observations against Adversarial Objectives

scientific article published in January 2008

Simultaneous Optimization of Sensor Placements and Balanced Schedules

Stochastic Bandits with Context Distributions

Stochastic Submodular Maximization: The Case of Coverage Functions

scientific article published in January 2017

Teaching Multiple Concepts to a Forgetful Learner

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

article

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

scientific article published in January 2016

Variational Inference in Mixed Probabilistic Submodular Models

scientific article published in January 2016