Kur, Gil

1. A bounded-noise mechanism for differential privacy
   2020/12/07 by Yuval Dagan, Gil Kur, Dagan, Yuval +1 · 1 voice · 2 citations
   Computer Science · #Cryptography and Security (cs.CR) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CR #cs.DS #cs.LG
2. Convex Regression in Multidimensions: Suboptimality of Least Squares Estimators
   2020/06/03 by Gil Kur, Fuchang Gao, Kur, Gil +5 · 4 citations
   Engineering · Mathematics · #Advanced Statistical Methods and Models #Control Systems and Identification #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)
3. On the Variance, Admissibility, and Stability of Empirical Risk Minimization
   2023/05/29 by Gil Kur, Kur, Gil, Eli Putterman +3 · 3 citations
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimal Experimental Design Methods #Probabilistic and Robust Engineering Design #Statistics Theory (math.ST)
4. On Suboptimality of Least Squares with Application to Estimation of Convex Bodies
   2020/06/07 by Gil Kur, Alexander Rakhlin, Kur, Gil +3 · 2 citations
   Computer Science · Engineering · Mathematics · #Computational Geometry (cs.CG) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Metric Geometry (math.MG) #Point processes and geometric inequalities #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
5. Double descent in the condition number
   2019/12/12 by Tomaso Poggio, Poggio, Tomaso, Gil Kur +3 · 3 citations
   Mathematics · #Advanced Combinatorial Mathematics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Random Matrices and Applications #Stochastic processes and statistical mechanics
6. Optimality of Maximum Likelihood for Log-Concave Density Estimation and Bounded Convex Regression
   2019/03/13 by Kur, Gil, Dagan, Yuval, Rakhlin, Alexander · 1 citation
   #62G07 62G08 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
7. An Efficient Minimax Optimal Estimator For Multivariate Convex Regression
   2022/05/06 by Gil Kur, Kur, Gil, Eli Putterman +1 · 1 citation
   Mathematics · #Statistical Methods and Inference #Markov Chains and Monte Carlo Methods
8. Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models
   2025/09/29 by Jonas Hübotter, Hübotter, Jonas, Patrik Wolf +9 · 1 voice · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
9. Space lower bounds for linear prediction in the streaming model
   2019/02/09 by Yuval Dagan, Gil Kur, Dagan, Yuval +3 · 1 citation
   Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Stochastic Gradient Optimization Techniques