Goldfeld, Ziv
- 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
- 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
- Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
2022/10/17 by Sloan Nietert, Nietert, Sloan, Ritwik Sadhu +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
- Neural Estimation and Optimization of Directed Information over Continuous Spaces
2022/03/28 by Tsur, Dor, Aharoni, Ziv, Goldfeld, Ziv +1 · 5 citations
#FOS: Computer and information sciences #Information Theory (cs.IT)
- 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)
- Gaussian-Smooth Optimal Transport: Metric Structure and Statistical Efficiency
2020/01/24 by Goldfeld, Ziv, Greenewald, Kristjan · 4 citations
#FOS: Mathematics #Statistics Theory (math.ST)
- Smooth p-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
2021/01/11 by Sloan Nietert, Nietert, Sloan, Ziv Goldfeld +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
- Wiretap Channels with Random States Non-Causally Available at the Encoder
2016/08/02 by Goldfeld, Ziv, Cuff, Paul, Permuter, Haim H. · 2 citations
#FOS: Computer and information sciences #Information Theory (cs.IT)
- 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
- 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
- Statistical inference with regularized optimal transport
2022/05/09 by Ziv Goldfeld, Goldfeld, Ziv, Kengo Kato +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)
- Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence
2022/07/18 by Goldfeld, Ziv, Kato, Kengo, Rioux, Gabriel +1 · 2 citations
#FOS: Mathematics #Probability (math.PR) #Statistics Theory (math.ST)
- Max-Sliced Mutual Information
2023/09/28 by Tsur, Dor, Goldfeld, Ziv, Greenewald, Kristjan · 2 citations
#FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
- Information Storage in the Stochastic Ising Model
2018/05/08 by Goldfeld, Ziv, Bresler, Guy, Polyanskiy, Yury · 1 citation
#FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Statistical Mechanics (cond-mat.stat-mech)
- 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
- Information-Theoretic Generalization Bounds for Deep Neural Networks
2024/04/04 by He, Haiyun, Goldfeld, Ziv · 2 citations
#FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
- Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis
2021/11/02 by Nietert, Sloan, Cummings, Rachel, Goldfeld, Ziv · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 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
- 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
- Limit Laws for Gromov-Wasserstein Alignment with Applications to Testing Graph Isomorphisms
2024/10/23 by Gabriel Rioux, Rioux, Gabriel, Ziv Goldfeld +3 · 3 citations
Computer Science · Mathematics · #FOS: Mathematics #Geometric and Algebraic Topology #Probability (math.PR) #Statistics Theory (math.ST) #Topological and Geometric Data Analysis
- Limit Distribution for Smooth Total Variation and χ2-Divergence in High Dimensions
2020/02/03 by Goldfeld, Ziv, Kato, Kengo · 1 citation
#FOS: Mathematics #Statistics Theory (math.ST)
- The Secrecy Capacity of Cost-Constrained Wiretap Channels
2020/04/09 by Sreekumar, Sreejith, Bunin, Alexander, Goldfeld, Ziv +2 · 1 citation
#FOS: Computer and information sciences #Information Theory (cs.IT)
- Robust Distribution Learning with Local and Global Adversarial Corruptions
2024/06/10 by Nietert, Sloan, Goldfeld, Ziv, Shafiee, Soroosh · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Neural Estimation Of Entropic Optimal Transport
2024/05/10 by Wang, Tao, Goldfeld, Ziv · 1 citation
#FOS: Mathematics #Statistics Theory (math.ST)