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Michal Valko

  1. Bootstrap your own latent: A new approach to self-supervised Learning
    2020/06/13 by Jean-Bastien Grill, Grill, Jean-Bastien, Florian Strub +25 · 302 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  2. A General Theoretical Paradigm to Understand Learning from Human Preferences
    2023/10/18 by Mohammad Gheshlaghi Azar, Azar, Mohammad Gheshlaghi, Mark Rowland +11 · 3 voices · 119 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research
  3. Nash Learning from Human Feedback
    2023/12/01 by Rémi Munos, Munos, Rémi, Michal Valko +31 · 1 voice · 25 citations
    #stat.ML #cs.AI #cs.GT #cs.LG #cs.MA
  4. Finite-Time Analysis of Kernelised Contextual Bandits
    2013/09/26 by Michal Valko, Valko, Michal, Nathan Korda +7 · 11 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Smart Grid Energy Management
  5. Large-Scale Representation Learning on Graphs via Bootstrapping
    2021/02/12 by Shantanu Thakoor, Corentin Tallec, Thakoor, Shantanu +13 · 13 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Topic Modeling #Data Quality and Management
  6. BYOL works even without batch statistics
    2020/10/20 by Pierre H. Richemond, Jean-Bastien Grill, Richemond, Pierre H. +19 · 1 voice · 3 citations
    Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CV #cs.LG #stat.ML
  7. Simple regret for infinitely many armed bandits
    2015/05/18 by Alexandra Carpentier, Michal Valko, Carpentier, Alexandra +1 · 7 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Optimization and Search Problems
  8. Generalized Preference Optimization: A Unified Approach to Offline Alignment
    2024/02/08 by Yunhao Tang, Tang, Yunhao, Zhaohan Daniel Guo +17 · 12 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Criteria Decision Making
  9. Understanding the performance gap between online and offline alignment algorithms
    2024/05/14 by Yunhao Tang, Daniel Guo, Tang, Yunhao +19 · 12 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gene expression and cancer classification #Genomics and Phylogenetic Studies #Machine Learning (cs.LG)
  10. Retrieval-Augmented Reinforcement Learning
    2022/02/17 by Abram L. Friesen, Goyal, Anirudh, Friesen, Abram L. +24 · 5 citations
    Computer Science · #Reinforcement Learning in Robotics #Data Stream Mining Techniques
  11. Gamification of Pure Exploration for Linear Bandits
    2020/07/02 by Rémy Degenne, Pierre Ménard, Degenne, Rémy +5 · 5 citations
    Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited
    2020/10/07 by Omar Darwiche Domingues, Pierre Ménard, Domingues, Omar Darwiche +5 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  13. Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
    2021/11/03 by Ran Liu, Liu, Ran, Mehdi Azabou +13 · 3 citations
    Neuroscience · Engineering · #Neural dynamics and brain function #Advanced Memory and Neural Computing #EEG and Brain-Computer Interfaces
  14. Mine Your Own vieW: Self-Supervised Learning Through Across-Sample\n Prediction
    2021/02/19 by Mehdi Azabou, Azabou, Mehdi, Mohammad Gheshlaghi Azar +23 · 6 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Cell Image Analysis Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
  15. Planning in Markov Decision Processes with Gap-Dependent Sample Complexity
    2020/06/10 by Anders Jönsson, Jonsson, Anders, Emilie Kaufmann +9 · 2 citations
    Computer Science · #AI-based Problem Solving and Planning #Advanced Database Systems and Queries #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. Fast active learning for pure exploration in reinforcement learning
    2020/07/27 by Pierre Ménard, Omar Darwiche Domingues, Ménard, Pierre +9 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems #Reinforcement Learning in Robotics
  17. Stochastic bandits with arm-dependent delays
    2020/06/18 by Anne Gael Manegueu, Manegueu, Anne Gael, Claire Vernade +5 · 2 citations
    Computer Science · Decision Sciences · Engineering · #62L10 #Advanced Bandit Algorithms Research #Cognitive Radio Networks and Spectrum Sensing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Smart Grid Energy Management
  18. Cheap Bandits
    2015/06/15 by Manjesh K. Hanawal, Venkatesh Saligrama, Hanawal, Manjesh Kumar +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
  19. From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
    2022/05/16 by Daniil Tiapkin, Tiapkin, Daniil, Denis Belomestny +13 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  20. Unlocking the Power of Representations in Long-term Novelty-based Exploration
    2023/05/02 by Alaa Saade, Steven Kapturowski, Saade, Alaa +15 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Time Series Analysis and Forecasting
  21. Preference Optimization with Multi-Sample Comparisons
    2024/10/16 by Chaoqi Wang, Wang, Chaoqi, Chen Zhu +18 · 1 citation
    Decision Sciences · #Multi-Criteria Decision Making