More from the Same Authors

• 2021 : Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization »
  Pranav Subramani · Nicholas Vadivelu · Gautam Kamath
• 2021 : Remember What You Want to Forget: Algorithms for Machine Unlearning »
  Ayush Sekhari · Ayush Sekhari · Jayadev Acharya · Gautam Kamath · Ananda Theertha Suresh
• 2021 : Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size »
  Wanrong Zhang · Yajun Mei · Rachel Cummings
• 2021 : Outlier-Robust Optimal Transport with Applications to Generative Modeling and Data Privacy »
  Sloan Nietert · Rachel Cummings · Ziv Goldfeld
• 2021 : The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection »
  Shubhankar Mohapatra · Shubhankar Mohapatra · Sajin Sasy · Gautam Kamath · Xi He · Om Dipakbhai Thakkar
• 2021 : Mean Estimation with User-level Privacy under Data Heterogeneity »
  Rachel Cummings · Vitaly Feldman · Audra McMillan · Kunal Talwar
• 2021 : Unbiased Statistical Estimation and Valid Confidence Sets Under Differential Privacy »
  Christian Covington · Xi He · James Honaker · Gautam Kamath
• 2021 : Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data »
  Gautam Kamath · Xingtu Liu · Huanyu Zhang
• 2021 : “I need a better description”: An Investigation Into User Expectations For Differential Privacy »
  Gabriel Kaptchuk · Rachel Cummings · Elissa M Redmiles
• 2023 Poster: Exploring the Limits of Indiscriminate Data Poisoning Attacks »
  Yiwei Lu · Gautam Kamath · Yaoliang Yu
• 2022 Workshop: Updatable Machine Learning »
  Ayush Sekhari · Gautam Kamath · Jayadev Acharya
• 2022 Workshop: Theory and Practice of Differential Privacy »
  Gautam Kamath · Audra McMillan
• 2022 Poster: Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data »
  Gautam Kamath · Xingtu Liu · Huanyu Zhang
• 2022 Oral: Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data »
  Gautam Kamath · Xingtu Liu · Huanyu Zhang
• 2021 Workshop: Theory and Practice of Differential Privacy »
  Rachel Cummings · Gautam Kamath
• 2021 Poster: PAPRIKA: Private Online False Discovery Rate Control »
  Wanrong Zhang · Gautam Kamath · Rachel Cummings
• 2021 Spotlight: PAPRIKA: Private Online False Discovery Rate Control »
  Wanrong Zhang · Gautam Kamath · Rachel Cummings
• 2020 Poster: Privately Learning Markov Random Fields »
  Huanyu Zhang · Gautam Kamath · Janardhan Kulkarni · Steven Wu
• 2019 Poster: Sever: A Robust Meta-Algorithm for Stochastic Optimization »
  Ilias Diakonikolas · Gautam Kamath · Daniel Kane · Jerry Li · Jacob Steinhardt · Alistair Stewart
• 2019 Oral: Sever: A Robust Meta-Algorithm for Stochastic Optimization »
  Ilias Diakonikolas · Gautam Kamath · Daniel Kane · Jerry Li · Jacob Steinhardt · Alistair Stewart
• 2018 Poster: INSPECTRE: Privately Estimating the Unseen »
  Jayadev Acharya · Gautam Kamath · Ziteng Sun · Huanyu Zhang
• 2018 Oral: INSPECTRE: Privately Estimating the Unseen »
  Jayadev Acharya · Gautam Kamath · Ziteng Sun · Huanyu Zhang
• 2017 Poster: Priv’IT: Private and Sample Efficient Identity Testing »
  Bryan Cai · Constantinos Daskalakis · Gautam Kamath
• 2017 Poster: Being Robust (in High Dimensions) Can Be Practical »
  Ilias Diakonikolas · Gautam Kamath · Daniel Kane · Jerry Li · Ankur Moitra · Alistair Stewart
• 2017 Talk: Priv’IT: Private and Sample Efficient Identity Testing »
  Bryan Cai · Constantinos Daskalakis · Gautam Kamath
• 2017 Talk: Being Robust (in High Dimensions) Can Be Practical »
  Ilias Diakonikolas · Gautam Kamath · Daniel Kane · Jerry Li · Ankur Moitra · Alistair Stewart