Or Sheffet - RankMe

62 papers A* 15A 5B 2Misc 1Journal 33Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input. CoRR Bar Mahpud, Or Sheffet
2025	J	`jnl`	Differentially Private Learning of Exponential Distributions: Adaptive Algorithms and Tight Bounds. CoRR Bar Mahpud, Or Sheffet
2025	—	`conf`	Privacy-Preserving Conformal Prediction Under Local Differential Privacy. COPA Coby Penso, Bar Mahpud, Jacob Goldberger, Or Sheffet
2025	J	`jnl`	Privacy-Preserving Conformal Prediction Under Local Differential Privacy. CoRR Coby Penso, Bar Mahpud, Jacob Goldberger, Or Sheffet
2024	A*	`conf`	Differentially Private Equivalence Testing for Continuous Distributions and Applications. NeurIPS Or Sheffet, Daniel Omer
2022	A*	`conf`	A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem. NeurIPS Bar Mahpud, Or Sheffet
2022	J	`jnl`	A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem. CoRR Bar Mahpud, Or Sheffet
2022	A*	`conf`	Transfer Learning In Differential Privacy's Hybrid-Model. ICML Refael Kohen, Or Sheffet
2022	J	`jnl`	Transfer Learning In Differential Privacy's Hybrid-Model. CoRR Refael Kohen, Or Sheffet
2021	A	`conf`	Differentially Private Approximations of a Convex Hull in Low Dimensions. ITC Yue Gao, Or Sheffet
2021	J	`jnl`	Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme. IEEE J. Sel. Areas Inf. Theory Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Or Sheffet, Anand D. Sarwate
2020	J	`jnl`	Best-Arm Identification for Quantile Bandits with Privacy. CoRR Dionysios S. Kalogerias, Konstantinos E. Nikolakakis, Anand D. Sarwate, Or Sheffet
2020	Misc	`conf`	Differentially Private Algorithms for Learning Mixtures of Separated Gaussians. ITA Gautam Kamath, Or Sheffet, Vikrant Singhal, Jonathan R. Ullman
2020	J	`jnl`	Privacy Games. ACM Trans. Economics and Comput. Yiling Chen, Or Sheffet, Salil P. Vadhan
2020	J	`jnl`	Private Approximations of a Convex Hull in Low Dimensions. CoRR Yue Gao, Or Sheffet
2020	A	`conf`	Private k-Means Clustering with Stability Assumptions. AISTATS Moshe Shechner, Or Sheffet, Uri Stemmer
2020	A	`conf`	The Power of Synergy in Differential Privacy: Combining a Small Curator with Local Randomizers. ITC Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, Uri Stemmer
2019	J	`jnl`	An Optimal Private Stochastic-MAB Algorithm Based on an Optimal Private Stopping Rule. CoRR Touqir Sajed, Or Sheffet
2019	A*	`conf`	An Optimal Private Stochastic-MAB Algorithm based on Optimal Private Stopping Rule. ICML Touqir Sajed, Or Sheffet
2019	A*	`conf`	Differentially Private Algorithms for Learning Mixtures of Separated Gaussians. NeurIPS Gautam Kamath, Or Sheffet, Vikrant Singhal, Jonathan R. Ullman
2019	J	`jnl`	Differentially Private Algorithms for Learning Mixtures of Separated Gaussians. CoRR Gautam Kamath, Or Sheffet, Vikrant Singhal, Jonathan R. Ullman
2019	J	`jnl`	Differentially Private Ordinary Least Squares. J. Priv. Confidentiality Or Sheffet
2019	A	`conf`	Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals. AISTATS Marco Gaboardi, Ryan Rogers, Or Sheffet
2019	B	`conf`	Old Techniques in Differentially Private Linear Regression. ALT Or Sheffet
2019	J	`jnl`	The power of synergy in differential privacy: Combining a small curator with local randomizers. CoRR Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, Uri Stemmer
2018	A*	`conf`	Differentially Private Contextual Linear Bandits. NeurIPS Roshan Shariff, Or Sheffet
2018	J	`jnl`	Differentially Private Contextual Linear Bandits. CoRR Roshan Shariff, Or Sheffet
2018	A*	`conf`	Locally Private Hypothesis Testing. ICML Or Sheffet
2018	J	`jnl`	Locally Private Hypothesis Testing. CoRR Or Sheffet
2018	J	`jnl`	Locally Private Mean Estimation: Z-test and Tight Confidence Intervals. CoRR Marco Gaboardi, Ryan Rogers, Or Sheffet
2017	A*	`conf`	Differentially Private Ordinary Least Squares. ICML Or Sheffet
2015	J	`jnl`	Differentially Private Least Squares: Estimation, Confidence and Rejecting the Null Hypothesis. CoRR Or Sheffet
2015	J	`jnl`	Optimal social choice functions: A utilitarian view. Artif. Intell. Craig Boutilier, Ioannis Caragiannis, Simi Haber, Tyler Lu, Ariel D. Procaccia, Or Sheffet
2015	J	`jnl`	Private Approximations of the 2nd-Moment Matrix Using Existing Techniques in Linear Regression. CoRR Or Sheffet
2014	—	`conf`	Learning Mixtures of Ranking Models. NIPS Pranjal Awasthi, Avrim Blum, Or Sheffet, Aravindan Vijayaraghavan
2014	J	`jnl`	Learning Mixtures of Ranking Models. CoRR Pranjal Awasthi, Avrim Blum, Or Sheffet, Aravindan Vijayaraghavan
2014	—	`conf`	Privacy Games. WINE Yiling Chen, Or Sheffet, Salil P. Vadhan
2014	J	`jnl`	Privacy Games. CoRR Yiling Chen, Or Sheffet, Salil P. Vadhan
2013	A	`conf`	Differentially private data analysis of social networks via restricted sensitivity. ITCS Jeremiah Blocki, Avrim Blum, Anupam Datta, Or Sheffet
2013	J	`jnl`	Optimizing Password Composition Policies CoRR Jeremiah Blocki, Saranga Komanduri, Ariel D. Procaccia, Or Sheffet
2013	A*	`conf`	Optimizing password composition policies. EC Jeremiah Blocki, Saranga Komanduri, Ariel D. Procaccia, Or Sheffet
2012	J	`jnl`	Additive Approximation for Near-Perfect Phylogeny Construction CoRR Pranjal Awasthi, Avrim Blum, Jamie Morgenstern, Or Sheffet
2012	—	`conf`	Additive Approximation for Near-Perfect Phylogeny Construction. APPROX-RANDOM Pranjal Awasthi, Avrim Blum, Jamie Morgenstern, Or Sheffet
2012	J	`jnl`	Center-based clustering under perturbation stability. Inf. Process. Lett. Pranjal Awasthi, Avrim Blum, Or Sheffet
2012	J	`jnl`	Differentially Private Data Analysis of Social Networks via Restricted Sensitivity CoRR Jeremiah Blocki, Avrim Blum, Anupam Datta, Or Sheffet
2012	J	`jnl`	Improved Spectral-Norm Bounds for Clustering CoRR Pranjal Awasthi, Or Sheffet
2012	—	`conf`	Improved Spectral-Norm Bounds for Clustering. APPROX-RANDOM Pranjal Awasthi, Or Sheffet
2012	A*	`conf`	Optimal social choice functions: a utilitarian view. EC Craig Boutilier, Ioannis Caragiannis, Simi Haber, Tyler Lu, Ariel D. Procaccia, Or Sheffet
2012	A*	`conf`	Predicting Consumer Behavior in Commerce Search. ICML Or Sheffet, Nina Mishra, Samuel Ieong
2012	J	`jnl`	Send Mixed Signals -- Earn More, Work Less CoRR Peter Bro Miltersen, Or Sheffet
2012	A*	`conf`	Send mixed signals: earn more, work less. EC Peter Bro Miltersen, Or Sheffet
2012	J	`jnl`	The Johnson-Lindenstrauss Transform Itself Preserves Differential Privacy CoRR Jeremiah Blocki, Avrim Blum, Anupam Datta, Or Sheffet
2012	A*	`conf`	The Johnson-Lindenstrauss Transform Itself Preserves Differential Privacy. FOCS Jeremiah Blocki, Avrim Blum, Anupam Datta, Or Sheffet
2010	J	`jnl`	Center-based Clustering under Perturbation Stability CoRR Pranjal Awasthi, Avrim Blum, Or Sheffet
2010	A*	`conf`	Improved Guarantees for Agnostic Learning of Disjunctions. COLT Pranjal Awasthi, Avrim Blum, Or Sheffet
2010	B	`conf`	On Nash-Equilibria of Approximation-Stable Games. SAGT Pranjal Awasthi, Maria-Florina Balcan, Avrim Blum, Or Sheffet, Santosh S. Vempala
2010	J	`jnl`	On The Randomness Complexity of Property Testing. Comput. Complex. Oded Goldreich, Or Sheffet
2010	A*	`conf`	Stability Yields a PTAS for k-Median and k-Means Clustering. FOCS Pranjal Awasthi, Avrim Blum, Or Sheffet
2008	J	`jnl`	Graph Colouring with No Large Monochromatic Components. Comb. Probab. Comput. Nathan Linial, Jirí Matousek, Or Sheffet, Gábor Tardos
2007	J	`jnl`	Graph coloring with no large monochromatic components. Electron. Notes Discret. Math. Nathan Linial, Jirí Matousek, Or Sheffet, Gábor Tardos
2007	—	`conf`	On the Randomness Complexity of Property Testing. APPROX-RANDOM Oded Goldreich, Or Sheffet
2007	J	`jnl`	On the randomness complexity of property testing. Electron. Colloquium Comput. Complex. Oded Goldreich, Or Sheffet