Frederic Koehler

1. Information Theoretic Properties of Markov Random Fields, and their\n Algorithmic Applications
   2017/05/31 by Linus Hamilton, Hamilton, Linus, Frederic Koehler +3 · 5 citations
   Computer Science · #Algorithms and Data Compression #Bayesian Modeling and Causal Inference #Data Management and Algorithms #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Graph Theory and Algorithms #Information Theory (cs.IT) #Machine Learning (cs.LG) #Statistics Theory (math.ST)
2. Mean-field approximation, convex hierarchies, and the optimality of\n correlation rounding: a unified perspective
   2018/08/22 by Vishesh Jain, Frederic Koehler, Jain, Vishesh +3 · 4 citations
   Mathematics · Physics and Astronomy · #Markov Chains and Monte Carlo Methods #Theoretical and Computational Physics #Stochastic processes and statistical mechanics
3. Statistical Efficiency of Score Matching: The View from Isoperimetry
   2022/10/03 by Frederic Koehler, Koehler, Frederic, Alexander Heckett +3 · 6 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistics Theory (math.ST)
4. The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity
   2018/02/16 by Vishesh Jain, Frederic Koehler, Jain, Vishesh +3 · 3 citations
   Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Error Correcting Code Techniques #Complexity and Algorithms in Graphs
5. Representational aspects of depth and conditioning in normalizing flows
   2020/10/02 by Frederic Koehler, Viraj Mehta, Koehler, Frederic +3 · 4 citations
   Computer Science · Medicine · #Generative Adversarial Networks and Image Synthesis #Computer Graphics and Visualization Techniques #Advanced Neuroimaging Techniques and Applications
6. Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and\n Benign Overfitting
   2021/06/17 by Frederic Koehler, Koehler, Frederic, Lijia Zhou +5 · 2 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
7. Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability
   2020/06/08 by Sitan Chen, Chen, Sitan, Frederic Koehler +5 · 3 citations
   Computer Science · #Machine Learning and Algorithms #Imbalanced Data Classification Techniques #Machine Learning and Data Classification
8. Efficiently learning and sampling multimodal distributions with data-based initialization
   2024/11/14 by Frederic Koehler, Koehler, Frederic, Holden Lee +3 · 4 citations
   Computer Science · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR) #Speech and Audio Processing
9. On the Power of Preconditioning in Sparse Linear Regression
   2021/06/17 by Jonathan A. Kelner, Kelner, Jonathan, Frederic Koehler +5 · 1 citation
   Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
10. A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
    2022/10/21 by Lijia Zhou, Frederic Koehler, Zhou, Lijia +7 · 1 citation
    Mathematics · Computer Science · #Statistical Methods and Inference #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
11. Anticoncentration of the Permanent in Ginibre Ensembles
    2026/07/22 by Frederic Koehler, Pui Kuen Leung
    #math.PR #cs.CC #math-ph #math.MP #quant-ph