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Andreas Krause

Identifiers

  • name variant Andreas Krause 0.60 · backfill

Papers (94)

  1. Constrained Flow Optimization via Sequential Fine Tuning for Molecular Design cs.LG · 2026 · author #5
  2. Sampling-Based Safe Reinforcement Learning cs.LG · 2026 · author #6
  3. POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles cs.LG · 2026 · author #2
  4. Bounded Ratio Reinforcement Learning cs.LG · 2026 · author #8
  5. Majority Voting for Code Generation cs.LG · 2026 · author #5
  6. ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning cs.LG · 2026 · author #7
  7. A Theoretical Analysis of Test-Driven Code Generation cs.SE · 2026 · author #3
  8. Reinforcement Learning via Self-Distillation cs.LG · 2026 · author #11
  9. Test-time Offline Reinforcement Learning on Goal-related Experience cs.LG · 2025 · author #5
  10. Scalable Ride-Sourcing Vehicle Rebalancing with Service Accessibility Guarantee: A Constrained Mean-Field Reinforcement Learning Approach cs.LG · 2025 · author #5
  11. Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning cs.LG · 2019 · author #5
  12. Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning eess.SY · 2019 · author #5
  13. Learning Generative Models across Incomparable Spaces cs.LG · 2019 · author #3
  14. Online Variance Reduction with Mixtures cs.LG · 2019 · author #4
  15. Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature cs.GT · 2019 · author #3
  16. AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs cs.LG · 2019 · author #4
  17. Multi-Player Bandits: The Adversarial Case cs.LG · 2019 · author #3
  18. Adaptive Sequence Submodularity cs.LG · 2019 · author #4
  19. Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces cs.LG · 2019 · author #5
  20. No-Regret Bayesian Optimization with Unknown Hyperparameters stat.ML · 2019 · author #3
  21. Information-Directed Exploration for Deep Reinforcement Learning cs.LG · 2018 · author #4
  22. Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy cs.LG · 2018 · author #4
  23. A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity cs.LG · 2018 · author #4
  24. The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems cs.SY · 2018 · author #3
  25. Discrete Sampling using Semigradient-based Product Mixtures cs.LG · 2018 · author #3
  26. Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making cs.AI · 2018 · author #4
  27. Optimal DR-Submodular Maximization and Applications to Provable Mean Field Inference cs.LG · 2018 · author #3
  28. Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations cs.RO · 2018 · author #5
  29. Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs stat.ML · 2018 · author #5
  30. Learning-based Model Predictive Control for Safe Exploration cs.SY · 2018 · author #4
  31. Differentiable Submodular Maximization stat.ML · 2018 · author #3
  32. Submodularity on Hypergraphs: From Sets to Sequences cs.DS · 2018 · author #3
  33. Online Variance Reduction for Stochastic Optimization stat.ML · 2018 · author #2
  34. Information Directed Sampling and Bandits with Heteroscedastic Noise stat.ML · 2018 · author #2
  35. Fake News Detection in Social Networks via Crowd Signals cs.SI · 2017 · author #5
  36. Learning User Preferences to Incentivize Exploration in the Sharing Economy cs.LG · 2017 · author #4
  37. Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints cs.GT · 2017 · author #3
  38. Stochastic Submodular Maximization: The Case of Coverage Functions cs.LG · 2017 · author #4
  39. Continuous DR-submodular Maximization: Structure and Algorithms cs.LG · 2017 · author #3
  40. Learning Implicit Generative Models Using Differentiable Graph Tests stat.ML · 2017 · author #2
  41. Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly cs.DS · 2017 · author #3
  42. An Online Learning Approach to Generative Adversarial Networks cs.LG · 2017 · author #5
  43. Safe Model-based Reinforcement Learning with Stability Guarantees stat.ML · 2017 · author #4
  44. Simulation of Charge Transport in Organic Semiconductors: A Time-Dependent Multiscale Method Based on Non-Equilibrium Green's Functions cond-mat.mtrl-sci · 2017 · author #3
  45. Training Gaussian Mixture Models at Scale via Coresets stat.ML · 2017 · author #3
  46. Practical Coreset Constructions for Machine Learning stat.ML · 2017 · author #3
  47. Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting cs.AI · 2017 · author #4
  48. Guarantees for Greedy Maximization of Non-submodular Functions with Applications cs.DM · 2017 · author #3
  49. Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization cs.RO · 2017 · author #5
  50. Uniform Deviation Bounds for Unbounded Loss Functions like k-Means stat.ML · 2017 · author #4
  51. Scalable k-Means Clustering via Lightweight Coresets stat.ML · 2017 · author #3
  52. Learning to Use Learners' Advice cs.LG · 2017 · author #3
  53. Coordinated Online Learning With Applications to Learning User Preferences cs.LG · 2017 · author #4
  54. Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation stat.ML · 2016 · author #3
  55. Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains cs.LG · 2016 · author #4
  56. Safe Exploration in Finite Markov Decision Processes with Gaussian Processes cs.LG · 2016 · author #3
  57. Horizontally Scalable Submodular Maximization stat.ML · 2016 · author #4
  58. Near-optimal Bayesian Active Learning with Correlated and Noisy Tests cs.LG · 2016 · author #3
  59. Actively Learning Hemimetrics with Applications to Eliciting User Preferences stat.ML · 2016 · author #3
  60. Algorithms for Learning Sparse Additive Models with Interactions in High Dimensions cs.LG · 2016 · author #4
  61. Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning stat.ML · 2016 · author #4
  62. Linear-time Outlier Detection via Sensitivity stat.ML · 2016 · author #3
  63. Learning Sparse Additive Models with Interactions in High Dimensions cs.LG · 2016 · author #4
  64. Safe Learning of Regions of Attraction for Uncertain, Nonlinear Systems with Gaussian Processes cs.SY · 2016 · author #4
  65. Better safe than sorry: Risky function exploitation through safe optimization stat.AP · 2016 · author #5
  66. Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization cs.AI · 2015 · author #3
  67. Safe Controller Optimization for Quadrotors with Gaussian Processes cs.RO · 2015 · author #3
  68. Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures stat.ML · 2015 · author #3
  69. Learning to Hire Teams cs.HC · 2015 · author #4
  70. Crowd Access Path Optimization: Diversity Matters cs.LG · 2015 · author #5
  71. Discovering Valuable Items from Massive Data cs.LG · 2015 · author #5
  72. Building Hierarchies of Concepts via Crowdsourcing cs.AI · 2015 · author #4
  73. Information Gathering in Networks via Active Exploration cs.AI · 2015 · author #5
  74. Scalable Variational Inference in Log-supermodular Models cs.LG · 2015 · author #2
  75. Distributed Submodular Maximization cs.LG · 2014 · author #4
  76. Lazier Than Lazy Greedy cs.LG · 2014 · author #5
  77. Online Submodular Maximization under a Matroid Constraint with Application to Learning Assignments cs.LG · 2014 · author #2
  78. Near Optimal Bayesian Active Learning for Decision Making cs.LG · 2014 · author #4
  79. Near-Optimally Teaching the Crowd to Classify cs.LG · 2014 · author #5
  80. A Utility-Theoretic Approach to Privacy in Online Services cs.AI · 2014 · author #1
  81. Optimal Value of Information in Graphical Models cs.AI · 2014 · author #1
  82. Efficient Informative Sensing using Multiple Robots cs.RO · 2014 · author #2
  83. Incentives for Privacy Tradeoff in Community Sensing cs.GT · 2013 · author #2
  84. Near-optimal Nonmyopic Value of Information in Graphical Models cs.AI · 2012 · author #1
  85. Adaptive Submodular Optimization under Matroid Constraints cs.DS · 2011 · author #2
  86. Efficient Minimization of Decomposable Submodular Functions cs.LG · 2010 · author #2
  87. Near-Optimal Bayesian Active Learning with Noisy Observations cs.LG · 2010 · author #2
  88. Inferring Networks of Diffusion and Influence cs.DS · 2010 · author #3
  89. Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization cs.LG · 2010 · author #2
  90. Online Distributed Sensor Selection cs.LG · 2010 · author #3
  91. Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design cs.LG · 2009 · author #2
  92. Online Learning of Assignments that Maximize Submodular Functions cs.LG · 2009 · author #2
  93. Evaluating the performance of adapting trading strategies with different memory lengths q-fin.PM · 2009 · author #1
  94. Microstructure Effects on Daily Return Volatility in Financial Markets cond-mat.stat-mech · 2000 · author #1

Mentions

  • 2603.09692 #7 · arxiv_oai · confidence 0.70 Andreas Krause
  • 2503.24183 #5 · arxiv_oai · confidence 0.70 Andreas Krause
  • 1411.0541 #4 · backfill · confidence 0.70 Andreas Krause
  • 1409.7938 #5 · backfill · confidence 0.70 Andreas Krause
  • 2605.30610 #5 · arxiv_oai · confidence 0.70 Andreas Krause
  • 1407.1082 #2 · backfill · confidence 0.70 Andreas Krause
  • 1402.5886 #4 · backfill · confidence 0.70 Andreas Krause
  • 1402.2092 #5 · backfill · confidence 0.70 Andreas Krause
  • 1401.3859 #1 · backfill · confidence 0.70 Andreas Krause
  • 1401.3474 #1 · backfill · confidence 0.70 Andreas Krause
  • 1401.3462 #2 · backfill · confidence 0.70 Andreas Krause
  • 1308.4013 #2 · backfill · confidence 0.70 Andreas Krause
  • 1207.1394 #1 · backfill · confidence 0.70 Andreas Krause
  • 2605.19469 #6 · arxiv_oai · confidence 0.70 Andreas Krause
  • 1101.4450 #2 · backfill · confidence 0.70 Andreas Krause
  • 1010.5511 #2 · backfill · confidence 0.70 Andreas Krause
  • 1010.3091 #2 · backfill · confidence 0.70 Andreas Krause
  • 1006.0234 #3 · backfill · confidence 0.70 Andreas Krause
  • 1003.3967 #2 · backfill · confidence 0.70 Andreas Krause
  • 1002.1782 #3 · backfill · confidence 0.70 Andreas Krause
  • 0912.3995 #2 · backfill · confidence 0.70 Andreas Krause
  • 0908.0772 #2 · backfill · confidence 0.70 Andreas Krause
  • 0901.0447 #1 · backfill · confidence 0.70 Andreas Krause

Frequent Coauthors