Alexey Naumov
- Generative Flow Networks as Entropy-Regularized RL
2023/10/19 by Daniil Tiapkin, Tiapkin, Daniil, Н. Ф. Морозов +5 · 14 citations
Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI)
- Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize
2021/06/02 by Alain Durmus, Durmus, Alain, Éric Moulines +9 · 6 citations
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR) #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
- Finite-time High-probability Bounds for Polyak-Ruppert Averaged Iterates of Linear Stochastic Approximation
2022/07/10 by Alain Durmus, Éric Moulines, Durmus, Alain +5 · 6 citations
Engineering · Mathematics · #60J20 #62L20 #Control Systems and Identification #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Statistical Methods and Inference #Statistics Theory (math.ST)
- Local-Global MCMC kernels: the best of both worlds
2021/11/04 by Sergey Samsonov, Samsonov, Sergey, Evgeny Lagutin +9 · 2 citations
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
- Group and Shuffle: Efficient Structured Orthogonal Parametrization
2024/06/14 by Mikhail Gorbunov, Gorbunov, Mikhail, N. P. Yudin +9 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computational Geometry and Mesh Generation #Computer Vision and Pattern Recognition (cs.CV) #Embedded Systems Design Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Numerical Analysis (math.NA)
- Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
2022/09/28 by Daniil Tiapkin, Tiapkin, Daniil, Denis Belomestny +15 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Age of Information Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Demonstration-Regularized RL
2023/10/26 by Daniil Tiapkin, Tiapkin, Daniil, Denis Belomestny +13 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
2024/02/06 by Paul Mangold, Sergey Samsonov, Mangold, Paul +11 · 3 citations
Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Traffic Prediction and Management Techniques
- Probability and moment inequalities for additive functionals of geometrically ergodic Markov chains
2021/09/01 by Alain Durmus, Durmus, Alain, Éric Moulines +5 · 2 citations
Mathematics · #60E15 #60J20 #65C40 #FOS: Mathematics #Geometric Analysis and Curvature Flows #Markov Chains and Monte Carlo Methods #Point processes and geometric inequalities #Probability (math.PR)
- Large ball probability, Gaussian comparison and anti-concentration
2017/08/29 by Friedrich Götze, Götze, Friedrich, Alexey Naumov +5 · 2 citations
Mathematics · Physics and Astronomy · #Advanced Statistical Methods and Models #FOS: Mathematics #Probability (math.PR) #Statistical Mechanics and Entropy #Statistical Methods and Inference
- 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
- Model-free Posterior Sampling via Learning Rate Randomization
2023/10/27 by Daniil Tiapkin, Tiapkin, Daniil, Denis Belomestny +15 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Rosenthal-type inequalities for linear statistics of Markov chains
2023/03/10 by Alain Durmus, Durmus, Alain, Éric Moulines +7 · 2 citations
Mathematics · #60E15 #60J20 #65C40 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Point processes and geometric inequalities #Probability (math.PR) #Statistics Theory (math.ST) #Stochastic processes and statistical mechanics