Ziv Goldfeld

1. Convergence of Smoothed Empirical Measures with Applications to Entropy\n Estimation
   2019/05/30 by Ziv Goldfeld, Kristjan Greenewald, Goldfeld, Ziv +5 · 8 citations
   Computer Science · Physics and Astronomy · Engineering · #Adversarial Robustness in Machine Learning #Statistical Mechanics and Entropy #Sparse and Compressive Sensing Techniques
2. The Information Bottleneck Problem and Its Applications in Machine\n Learning
   2020/04/30 by Ziv Goldfeld, Yury Polyanskiy, Goldfeld, Ziv +1 · 7 citations
   Computer Science · #Age of Information Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
3. Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
   2022/10/17 by Sloan Nietert, Ritwik Sadhu, Nietert, Sloan +5 · 6 citations
   Environmental Science · Health Professions · Mathematics · #FOS: Computer and information sciences #Groundwater flow and contamination studies #Healthcare cost, quality, practices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
4. Neural Estimation of Statistical Divergences
   2021/10/07 by Sreejith Sreekumar, Sreekumar, Sreejith, Ziv Goldfeld +1 · 6 citations
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Statistics Theory (math.ST)
5. Smooth p-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
   2021/01/11 by Sloan Nietert, Ziv Goldfeld, Nietert, Sloan +3 · 4 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Geometric Analysis and Curvature Flows #Machine Learning (stat.ML) #Point processes and geometric inequalities #Statistics Theory (math.ST) #Topological and Geometric Data Analysis
6. Estimating Information Flow in Deep Neural Networks
   2018/10/12 by Ziv Goldfeld, E. van den Berg, Goldfeld, Ziv +11 · 3 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning
7. Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity
   2022/12/25 by Zhengxin Zhang, Ziv Goldfeld, Zhang, Zhengxin +5 · 3 citations
   Environmental Science · Mathematics · #Groundwater flow and contamination studies #Markov Chains and Monte Carlo Methods #Geometric Analysis and Curvature Flows
8. Statistical inference with regularized optimal transport
   2022/05/09 by Ziv Goldfeld, Kengo Kato, Goldfeld, Ziv +5 · 2 citations
   Environmental Science · Mathematics · #FOS: Mathematics #Groundwater flow and contamination studies #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Statistical Methods and Inference #Statistics Theory (math.ST)
9. Outlier-Robust Wasserstein DRO
   2023/11/09 by Sloan Nietert, Ziv Goldfeld, Nietert, Sloan +3 · 3 citations
   Mathematics · Decision Sciences · #Advanced Statistical Methods and Models #Risk and Portfolio Optimization #Advanced Statistical Process Monitoring
10. Non-Asymptotic Performance Guarantees for Neural Estimation of\n \f-Divergences
    2021/03/11 by Sreejith Sreekumar, Sreekumar, Sreejith, Zhengxin Zhang +3 · 2 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
11. Data-Driven Optimization of Directed Information over Discrete Alphabets
    2023/01/02 by Dor Tsur, Tsur, Dor, Ziv Aharoni +5 · 1 citation
    Computer Science · #Age of Information Optimization #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
12. Limit Laws for Gromov-Wasserstein Alignment with Applications to Testing Graph Isomorphisms
    2024/10/23 by Gabriel Rioux, Ziv Goldfeld, Rioux, Gabriel +3 · 3 citations
    Computer Science · Mathematics · #FOS: Mathematics #Geometric and Algebraic Topology #Probability (math.PR) #Statistics Theory (math.ST) #Topological and Geometric Data Analysis