• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 80 matches

• 2024
• 
  Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar, Samson Zhou:
  Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages. ICML 2024
• 
  Karan N. Chadha, Junye Chen, John C. Duchi, Vitaly Feldman, Hanieh Hashemi, Omid Javidbakht, Audra McMillan, Kunal Talwar:
  Differentially Private Heavy Hitter Detection using Federated Analytics. SaTML 2024: 512-533
• 
  Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar, Samson Zhou:
  Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages. CoRR abs/2404.10201 (2024)
• 
  Omkar Joglekar, Tal Lancewicki, Shir Kozlovsky, Vladimir Tchuiev, Zohar Feldman, Dotan Di Castro:
  Towards Natural Language-Driven Assembly Using Foundation Models. CoRR abs/2406.16093 (2024)
• 
  Vitaly Feldman, Audra McMillan, Satchit Sivakumar, Kunal Talwar:
  Instance-Optimal Private Density Estimation in the Wasserstein Distance. CoRR abs/2406.19566 (2024)
• 
  Arnon Turetzky, Or Tal, Yael Segal-Feldman, Yehoshua Dissen, Ella Zeldes, Amit Roth, Eyal Cohen, Yosi Shrem, Bronya Roni Chernyak, Olga Seleznova, Joseph Keshet, Yossi Adi:
  HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing. CoRR abs/2407.07566 (2024)
• 2023
• 
  Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar:
  Private Online Prediction from Experts: Separations and Faster Rates. COLT 2023: 674-699
• 
  Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar:
  Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime. ICML 2023: 1107-1120
• 
  Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar:
  Fast Optimal Locally Private Mean Estimation via Random Projections. NeurIPS 2023
• 
  Avi Cohen, Michal Feldman, Divyarthi Mohan, Inbal Talgam-Cohen:
  Interdependent Public Projects. SODA 2023: 416-443
• 
  Vitaly Feldman, Audra McMillan, Kunal Talwar:
  Stronger Privacy Amplification by Shuffling for Renyi and Approximate Differential Privacy. SODA 2023: 4966-4981
• 
  Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar:
  Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime. CoRR abs/2302.14154 (2023)
• 
  Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar:
  Fast Optimal Locally Private Mean Estimation via Random Projections. CoRR abs/2306.04444 (2023)
• 
  Karan N. Chadha, Junye Chen, John C. Duchi, Vitaly Feldman, Hanieh Hashemi, Omid Javidbakht, Audra McMillan, Kunal Talwar:
  Differentially Private Heavy Hitter Detection using Federated Analytics. CoRR abs/2307.11749 (2023)
• 
  Kunal Talwar, Shan Wang, Audra McMillan, Vojta Jina, Vitaly Feldman, Bailey Basile, Áine Cahill, Yi Sheng Chan, Mike Chatzidakis, Junye Chen, Oliver Chick, Mona Chitnis, Suman Ganta, Yusuf Goren, Filip Granqvist, Kristine Guo, Frederic Jacobs, Omid Javidbakht, Albert Liu, Richard Low, Dan Mascenik, Steve Myers, David Park, Wonhee Park, Gianni Parsa, Tommy Pauly, Christian Priebe, Rehan Rishi, Guy N. Rothblum, Michael Scaria, Linmao Song, Congzheng Song, Karl Tarbe, Sebastian Vogt, Luke Winstrom, Shundong Zhou:
  Samplable Anonymous Aggregation for Private Federated Data Analysis. CoRR abs/2307.15017 (2023)
• 
  Rachel Cummings, Vitaly Feldman, Audra McMillan, Kunal Talwar:
  Mean Estimation with User-level Privacy under Data Heterogeneity. CoRR abs/2307.15835 (2023)
• 
  Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan Honza Silovsky, Kunal Talwar, Tatiana Likhomanenko:
  Federated Learning with Differential Privacy for End-to-End Speech Recognition. CoRR abs/2310.00098 (2023)
• 
  Murad Tukan, Fares Fares, Yotam Grufinkle, Ido Talmor, Loay Mualem, Vladimir Braverman, Dan Feldman:
  ORBSLAM3-Enhanced Autonomous Toy Drones: Pioneering Indoor Exploration. CoRR abs/2312.13385 (2023)
• 2022
• 
  Hilal Asi, Vitaly Feldman, Kunal Talwar:
  Optimal Algorithms for Mean Estimation under Local Differential Privacy. ICML 2022: 1046-1056
• 
  Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar:
  Private frequency estimation via projective geometry. ICML 2022: 6418-6433
• 
  Rachel Cummings, Vitaly Feldman, Audra McMillan, Kunal Talwar:
  Mean Estimation with User-level Privacy under Data Heterogeneity. NeurIPS 2022
• 
  John C. Duchi, Vitaly Feldman, Lunjia Hu, Kunal Talwar:
  Subspace Recovery from Heterogeneous Data with Non-isotropic Noise. NeurIPS 2022
• 
  Michal Feldman, Hu Fu, Inbal Talgam-Cohen:
  Web and Internet Economics - 17th International Conference, WINE 2021, Potsdam, Germany, December 14-17, 2021, Proceedings. Lecture Notes in Computer Science 13112, Springer 2022, ISBN 978-3-030-94675-3 [contents]
• 
  Vitaly Feldman, Jelani Nelson, Huy Le Nguyen, Kunal Talwar:
  Private Frequency Estimation via Projective Geometry. CoRR abs/2203.00194 (2022)
• 
  Avi Cohen, Michal Feldman, Divyarthi Mohan, Inbal Talgam-Cohen:
  Interdependent Public Projects. CoRR abs/2204.08044 (2022)
• 
  Hilal Asi, Vitaly Feldman, Kunal Talwar:
  Optimal Algorithms for Mean Estimation under Local Differential Privacy. CoRR abs/2205.02466 (2022)
• 
  Vitaly Feldman, Audra McMillan, Kunal Talwar:
  Stronger Privacy Amplification by Shuffling for Rényi and Approximate Differential Privacy. CoRR abs/2208.04591 (2022)
• 
  John C. Duchi, Vitaly Feldman, Lunjia Hu, Kunal Talwar:
  Subspace Recovery from Heterogeneous Data with Non-isotropic Noise. CoRR abs/2210.13497 (2022)
• 
  Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar:
  Private Online Prediction from Experts: Separations and Faster Rates. CoRR abs/2210.13537 (2022)
• 
  Audra McMillan, Omid Javidbakht, Kunal Talwar, Elliot Briggs, Mike Chatzidakis, Junye Chen, John C. Duchi, Vitaly Feldman, Yusuf Goren, Michael Hesse, Vojta Jina, Anil Katti, Albert Liu, Cheney Lyford, Joey Meyer, Alex Palmer, David Park, Wonhee Park, Gianni Parsa, Paul Pelzl, Rehan Rishi, Congzheng Song, Shan Wang, Shundong Zhou:
  Private Federated Statistics in an Interactive Setting. CoRR abs/2211.10082 (2022)

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