Hilal Asi - RankMe

52 papers A* 19A 2B 1Journal 30

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ABoN: Adaptive Best-of-N Alignment. CoRR Vinod Raman, Hilal Asi, Satyen Kale
2025	A*	`conf`	Faster Rates for Private Adversarial Bandits. ICML Hilal Asi, Vinod Raman, Kunal Talwar
2025	J	`jnl`	Faster Rates for Private Adversarial Bandits. CoRR Hilal Asi, Vinod Raman, Kunal Talwar
2025	J	`jnl`	On Privately Estimating a Single Parameter. CoRR Hilal Asi, John C. Duchi, Kunal Talwar
2025	J	`jnl`	PREAMBLE: Private and Efficient Aggregation of Block Sparse Vectors and Applications. CoRR Hilal Asi, Vitaly Feldman, Hannah Keller, Guy N. Rothblum, Kunal Talwar
2025	J	`jnl`	PREAMBLE: Private and Efficient Aggregation of Block Sparse Vectors and Applications. IACR Cryptol. ePrint Arch. Hilal Asi, Vitaly Feldman, Hannah Keller, Guy N. Rothblum, Kunal Talwar
2025	A*	`conf`	Tracking The Best Expert Privately. ICML Hilal Asi, Vinod Raman, Aadirupa Saha
2025	J	`jnl`	Tracking the Best Expert Privately. CoRR Aadirupa Saha, Vinod Raman, Hilal Asi
2024	J	`jnl`	DP-Dueling: Learning from Preference Feedback without Compromising User Privacy. CoRR Aadirupa Saha, Hilal Asi
2024	A*	`conf`	Faster Algorithms for User-Level Private Stochastic Convex Optimization. NeurIPS Andrew Lowy, Daogao Liu, Hilal Asi
2024	J	`jnl`	Faster Algorithms for User-Level Private Stochastic Convex Optimization. CoRR Andrew Lowy, Daogao Liu, Hilal Asi
2024	A*	`conf`	Private Online Learning via Lazy Algorithms. NeurIPS Hilal Asi, Tomer Koren, Daogao Liu, Kunal Talwar
2024	J	`jnl`	Private Online Learning via Lazy Algorithms. CoRR Hilal Asi, Tomer Koren, Daogao Liu, Kunal Talwar
2024	A*	`conf`	Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions. NeurIPS Hilal Asi, Daogao Liu, Kevin Tian
2024	J	`jnl`	Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions. CoRR Hilal Asi, Daogao Liu, Kevin Tian
2024	A*	`conf`	Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages. ICML Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar, Samson Zhou
2024	J	`jnl`	Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages. CoRR Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar, Samson Zhou
2024	J	`jnl`	Scalable Private Search with Wally. CoRR Hilal Asi, Fabian Boemer, Nicholas Genise, Muhammad Haris Mughees, Tabitha Ogilvie, Rehan Rishi, Guy N. Rothblum, Kunal Talwar, Karl Tarbe, Ruiyu Zhu, Marco Zuliani
2024	A*	`conf`	Universally Instance-Optimal Mechanisms for Private Statistical Estimation. COLT Hilal Asi, John C. Duchi, Saminul Haque, Zewei Li, Feng Ruan
2024	A	`conf`	User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates. AISTATS Daogao Liu, Hilal Asi
2023	A*	`conf`	Fast Optimal Locally Private Mean Estimation via Random Projections. NeurIPS Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar
2023	J	`jnl`	Fast Optimal Locally Private Mean Estimation via Random Projections. CoRR Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar
2023	A*	`conf`	From Robustness to Privacy and Back. ICML Hilal Asi, Jonathan R. Ullman, Lydia Zakynthinou
2023	J	`jnl`	From Robustness to Privacy and Back. CoRR Hilal Asi, Jonathan R. Ullman, Lydia Zakynthinou
2023	A*	`conf`	Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime. ICML Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
2023	J	`jnl`	Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime. CoRR Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
2023	A*	`conf`	Private Online Prediction from Experts: Separations and Faster Rates. COLT Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
2023	J	`jnl`	User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates. CoRR Hilal Asi, Daogao Liu
2022	J	`jnl`	How many labelers do you have? A closer look at gold-standard labels. CoRR Chen Cheng, Hilal Asi, John C. Duchi
2022	A*	`conf`	Optimal Algorithms for Mean Estimation under Local Differential Privacy. ICML Hilal Asi, Vitaly Feldman, Kunal Talwar
2022	J	`jnl`	Optimal Algorithms for Mean Estimation under Local Differential Privacy. CoRR Hilal Asi, Vitaly Feldman, Kunal Talwar
2022	J	`jnl`	Private Online Prediction from Experts: Separations and Faster Rates. CoRR Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
2022	A*	`conf`	Private optimization in the interpolation regime: faster rates and hardness results. ICML Hilal Asi, Karan N. Chadha, Gary Cheng, John C. Duchi
2022	J	`jnl`	Private optimization in the interpolation regime: faster rates and hardness results. CoRR Hilal Asi, Karan N. Chadha, Gary Cheng, John C. Duchi
2021	J	`jnl`	Adapting to Function Difficulty and Growth Conditions in Private Optimization. CoRR Hilal Asi, Daniel Levy, John C. Duchi
2021	A*	`conf`	Adapting to function difficulty and growth conditions in private optimization. NeurIPS Hilal Asi, Daniel Levy, John C. Duchi
2021	A*	`conf`	Private Adaptive Gradient Methods for Convex Optimization. ICML Hilal Asi, John C. Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar
2021	J	`jnl`	Private Adaptive Gradient Methods for Convex Optimization. CoRR Hilal Asi, John C. Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar
2021	A*	`conf`	Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry. ICML Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
2021	J	`jnl`	Private Stochastic Convex Optimization: Optimal Rates in 𝓁 CoRR Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
2021	A*	`conf`	Stochastic Bias-Reduced Gradient Methods. NeurIPS Hilal Asi, Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
2021	J	`jnl`	Stochastic Bias-Reduced Gradient Methods. CoRR Hilal Asi, Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
2020	J	`jnl`	Finding Planted Cliques in Sublinear Time. CoRR Jay Mardia, Hilal Asi, Kabir Aladin Chandrasekher
2020	A*	`conf`	Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms. NeurIPS Hilal Asi, John C. Duchi
2020	A*	`conf`	Minibatch Stochastic Approximate Proximal Point Methods. NeurIPS Hilal Asi, Karan N. Chadha, Gary Cheng, John C. Duchi
2020	J	`jnl`	Near Instance-Optimality in Differential Privacy. CoRR Hilal Asi, John C. Duchi
2019	J	`jnl`	Element Level Differential Privacy: The Right Granularity of Privacy. CoRR Hilal Asi, John C. Duchi, Omid Javidbakht
2019	A	`conf`	Modeling simple structures and geometry for better stochastic optimization algorithms. AISTATS Hilal Asi, John C. Duchi
2019	J	`jnl`	Nearly Optimal Constructions of PIR and Batch Codes. IEEE Trans. Inf. Theory Hilal Asi, Eitan Yaakobi
2019	J	`jnl`	Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity. SIAM J. Optim. Hilal Asi, John C. Duchi
2017	J	`jnl`	Nearly Optimal Constructions of PIR and Batch Codes. CoRR Hilal Asi, Eitan Yaakobi
2017	B	`conf`	Nearly optimal constructions of PIR and batch codes. ISIT Hilal Asi, Eitan Yaakobi