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Lista de obras de Andreas Krause

A Domain Agnostic Measure for Monitoring and Evaluating GANs ⬇️

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

artículo científico publicado en 2018

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

artículo científico publicado en 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 ⬇️

artículo científico publicado en 2011

Cooperative Graphical Models ⬇️

artículo científico publicado en 2016

Cost-effective outbreak detection in networks

Crowdclustering ⬇️

artículo científico publicado en 2011

Data association for topic intensity tracking

Differentiable Learning of Submodular Functions ⬇️

artículo científico publicado en 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 ⬇️

artículo científico publicado en 2014

Efficient Sampling for Learning Sparse Additive Models in High Dimensions ⬇️

artículo científico publicado en 2014

Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks

article published in 2008

Efficiently Learning Fourier Sparse Set Functions ⬇️

artículo científico publicado en 2019

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

Fast and Provably Good Seedings for k-Means ⬇️

artículo científico publicado en 2016

From MAP to Marginals: Variational Inference in Bayesian Submodular Models ⬇️

artículo científico publicado en 2014

Generalization and Search in Risky Environments

scientific article published on 02 November 2018

Generalization and search in risky environments

artículo científico publicado en 2017

High-Dimensional Gaussian Process Bandits ⬇️

Inferring Networks of Diffusion and Influence

Inferring networks of diffusion and influence

Interactive Submodular Bandit ⬇️

artículo científico publicado en 2017

Mobile decision support for transplantation patient data

artículo científico publicado en 2004

Navigating the protein fitness landscape with Gaussian processes

artículo científico publicado en 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 ⬇️

artículo científico publicado en 2017

Online Learning of Assignments ⬇️

artículo científico publicado en 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

artículo científico publicado en 2012

SFO: A Toolbox for Submodular Function Optimization

scientific article published in 2010

Safe Exploration for Interactive Machine Learning ⬇️

artículo científico publicado en 2019

Safe Exploration in Finite Markov Decision Processes with Gaussian Processes ⬇️

artículo científico publicado en 2016

Safe Model-based Reinforcement Learning with Stability Guarantees ⬇️

artículo científico publicado en 2017

Sampling from Probabilistic Submodular Models ⬇️

Scalable Training of Mixture Models via Coresets ⬇️

artículo científico publicado en 2011

Selecting Observations against Adversarial Objectives ⬇️

artículo científico publicado en 2008

Simultaneous Optimization of Sensor Placements and Balanced Schedules

Stochastic Bandits with Context Distributions ⬇️

Stochastic Submodular Maximization: The Case of Coverage Functions ⬇️

artículo científico publicado en 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 ⬇️

artículo científico publicado en 2016

Variational Inference in Mixed Probabilistic Submodular Models ⬇️

artículo científico publicado en 2016

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