Timezone: »
Invited Talk: Kamalika Chaudhuri
Kamalika Chaudhuri
Fri Jul 23 11:00 AM -- 11:40 AM (PDT) @
Author Information
Kamalika Chaudhuri (University of California at San Diego)
More from the Same Authors
-
2021 : Understanding Instance-based Interpretability of Variational Auto-Encoders »
· Zhifeng Kong · Kamalika Chaudhuri -
2021 : Privacy Amplification by Bernoulli Sampling »
Jacob Imola · Kamalika Chaudhuri -
2021 : A Shuffling Framework For Local Differential Privacy »
Casey M Meehan · Amrita Roy Chowdhury · Kamalika Chaudhuri · Somesh Jha -
2021 : Privacy Amplification by Subsampling in Time Domain »
Tatsuki Koga · Casey M Meehan · Kamalika Chaudhuri -
2022 : Understanding Rare Spurious Correlations in Neural Networks »
Yao-Yuan Yang · Chi-Ning Chou · Kamalika Chaudhuri -
2022 Poster: Thompson Sampling for Robust Transfer in Multi-Task Bandits »
Zhi Wang · Chicheng Zhang · Kamalika Chaudhuri -
2022 Spotlight: Thompson Sampling for Robust Transfer in Multi-Task Bandits »
Zhi Wang · Chicheng Zhang · Kamalika Chaudhuri -
2022 Poster: Bounding Training Data Reconstruction in Private (Deep) Learning »
Chuan Guo · Brian Karrer · Kamalika Chaudhuri · Laurens van der Maaten -
2022 Oral: Bounding Training Data Reconstruction in Private (Deep) Learning »
Chuan Guo · Brian Karrer · Kamalika Chaudhuri · Laurens van der Maaten -
2021 : Discussion Panel #2 »
Bo Li · Nicholas Carlini · Andrzej Banburski · Kamalika Chaudhuri · Will Xiao · Cihang Xie -
2021 : Invited Talk #9 »
Kamalika Chaudhuri -
2021 : Invited Talk: Kamalika Chaudhuri »
Kamalika Chaudhuri -
2021 : Live Panel Discussion »
Thomas Dietterich · Chelsea Finn · Kamalika Chaudhuri · Yarin Gal · Uri Shalit -
2021 Poster: Sample Complexity of Robust Linear Classification on Separated Data »
Robi Bhattacharjee · Somesh Jha · Kamalika Chaudhuri -
2021 Spotlight: Sample Complexity of Robust Linear Classification on Separated Data »
Robi Bhattacharjee · Somesh Jha · Kamalika Chaudhuri -
2021 Poster: Connecting Interpretability and Robustness in Decision Trees through Separation »
Michal Moshkovitz · Yao-Yuan Yang · Kamalika Chaudhuri -
2021 Spotlight: Connecting Interpretability and Robustness in Decision Trees through Separation »
Michal Moshkovitz · Yao-Yuan Yang · Kamalika Chaudhuri -
2020 Poster: When are Non-Parametric Methods Robust? »
Robi Bhattacharjee · Kamalika Chaudhuri -
2019 Talk: Opening Remarks »
Kamalika Chaudhuri · Ruslan Salakhutdinov -
2018 Poster: Active Learning with Logged Data »
Songbai Yan · Kamalika Chaudhuri · Tara Javidi -
2018 Poster: Analyzing the Robustness of Nearest Neighbors to Adversarial Examples »
Yizhen Wang · Somesh Jha · Kamalika Chaudhuri -
2018 Oral: Active Learning with Logged Data »
Songbai Yan · Kamalika Chaudhuri · Tara Javidi -
2018 Oral: Analyzing the Robustness of Nearest Neighbors to Adversarial Examples »
Yizhen Wang · Somesh Jha · Kamalika Chaudhuri -
2017 Workshop: Picky Learners: Choosing Alternative Ways to Process Data. »
Corinna Cortes · Kamalika Chaudhuri · Giulia DeSalvo · Ningshan Zhang · Chicheng Zhang -
2017 Poster: Active Heteroscedastic Regression »
Kamalika Chaudhuri · Prateek Jain · Nagarajan Natarajan -
2017 Talk: Active Heteroscedastic Regression »
Kamalika Chaudhuri · Prateek Jain · Nagarajan Natarajan