Korba, Anna
- Maximum Mean Discrepancy Gradient Flow
2019/06/11 by Michael Arbel, Anna Korba, Arbel, Michael +5 · 17 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Image Processing Techniques #Image and Signal Denoising Methods
- Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment\n Restriction
2021/05/10 by Afsaneh Mastouri, Yuchen Zhu, Mastouri, Afsaneh +13 · 10 citations
Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference
- Kernel Stein Discrepancy Descent
2021/05/20 by Anna Korba, Pierre-Cyril Aubin-Frankowski, Korba, Anna +5 · 8 citations
Mathematics · Engineering · #Mathematical Approximation and Integration #Advanced Numerical Analysis Techniques #Mathematical Analysis and Transform Methods
- A Non-Asymptotic Analysis for Stein Variational Gradient Descent
2020/06/17 by Anna Korba, Adil Salim, Korba, Anna +7 · 7 citations
Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Point processes and geometric inequalities #Random Matrices and Applications
- Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM
2022/06/17 by Pierre-Cyril Aubin-Frankowski, Anna Korba, Aubin-Frankowski, Pierre-Cyril +3 · 8 citations
Mathematics · Physics and Astronomy · #Markov Chains and Monte Carlo Methods #Statistical Mechanics and Entropy #Statistical Methods and Inference
- A connection between Tempering and Entropic Mirror Descent
2023/10/18 by Chopin, Nicolas, Crucinio, Francesca R., Korba, Anna · 5 citations
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Statistics Theory (math.ST)
- Mirror and Preconditioned Gradient Descent in Wasserstein Space
2024/06/13 by Clément Bonet, Bonet, Clément, Théo Uscidda +7 · 1 voice · 5 citations
#math.OC #cs.LG
- Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
2024/10/13 by Omar Chehab, Chehab, Omar, Anna Korba +5 · 6 citations
Mathematics · Physics and Astronomy · #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Biology Tumor Growth #Quantum chaos and dynamical systems #Quantum many-body systems
- Implicit Diffusion: Efficient Optimization through Stochastic Sampling
2024/02/08 by Pierre Marion, Anna Korba, Marion, Pierre +16 · 2 voices · 2 citations
Computer Science · #Neural Networks and Applications
- Adaptive Importance Sampling meets Mirror Descent: a Bias-variance\n tradeoff
2021/10/29 by Anna Korba, François Portier, Korba, Anna +1 · 2 citations
Decision Sciences · Engineering · Mathematics · #62L20 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Mathematical Approximation and Integration #Nuclear reactor physics and engineering #Probabilistic and Robust Engineering Design #Statistical Methods and Inference #Statistics Theory (math.ST)
- Constrained Sampling with Primal-Dual Langevin Monte Carlo
2024/11/01 by Luiz F. O. Chamon, Chamon, Luiz F. O., Mohammad Reza Karimi +3 · 4 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC)
- A Structured Prediction Approach for Label Ranking
2018/07/06 by Anna Korba, Korba, Anna, Alexandre Garcia +3 · 2 citations
Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Text and Document Classification Technologies
- Exponential Smoothing for Off-Policy Learning
2023/05/25 by Imad Aouali, Aouali, Imad, Victor-Emmanuel Brunel +4 · 3 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Density Ratio Estimation with Conditional Probability Paths
2025/02/04 by Hanlin Yu, Yu, Hanlin, Arto Klami +7 · 1 voice · 3 citations
Computer Science · #Machine Learning and Algorithms #cs.LG
- A Practical Diffusion Path for Sampling
2024/06/20 by Omar Chehab, Anna Korba, Chehab, Omar +1 · 2 citations
Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Quantum many-body systems
- Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
2024/02/22 by Aouali, Imad, Brunel, Victor-Emmanuel, Rohde, David +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Sampling with Mollified Interaction Energy Descent
2022/10/24 by Lingxiao Li, Qiang Liu, Li, Lingxiao +7 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Stochastic Gradient Optimization Techniques
- Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
2025/06/09 by Clément Bonet, Christophe Vauthier, Bonet, Clément +3 · 5 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning
- (De)-regularized Maximum Mean Discrepancy Gradient Flow
2024/09/23 by Zonghao Chen, Aratrika Mustafi, Chen, Zonghao +9 · 2 citations
Engineering · #Advanced Numerical Analysis Techniques
- Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling
2024/06/05 by Imad Aouali, Victor-Emmanuel Brunel, Aouali, Imad +5 · 1 citation
Computer Science · #Machine Learning and Algorithms #Domain Adaptation and Few-Shot Learning #Bayesian Modeling and Causal Inference
- Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
2024/06/06 by Huix, Tom, Korba, Anna, Durmus, Alain +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)