ML Anthology

Cherapanamjeri, Yeshwanth

16 publications

ICLR 2025 Efficient Automated Circuit Discovery in Transformers Using Contextual Decomposition Aliyah R. Hsu, Georgia Zhou, Yeshwanth Cherapanamjeri, Yaxuan Huang, Anobel Odisho, Peter R. Carroll, Bin Yu
COLT 2025 Heavy-Tailed Estimation Is Easier than Adversarial Contamination Yeshwanth Cherapanamjeri, Daniel Lee
ICLR 2025 How Much Is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion. Giannis Daras, Yeshwanth Cherapanamjeri, Constantinos Costis Daskalakis
COLT 2025 The Space Complexity of Learning-Unlearning Algorithms (extended Abstract) Yeshwanth Cherapanamjeri, Sumegba Garg, Nived Rajaraman, Ayush Sekhari, Abhishek Shetty
ICLR 2024 Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, Anobel Odisho, Bin Yu
NeurIPSW 2023 Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making Aliyah Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, Anobel Odisho, Bin Yu
ICLR 2023 Robust Algorithms on Adaptive Inputs from Bounded Adversaries Yeshwanth Cherapanamjeri, Sandeep Silwal, David Woodruff, Fred Zhang, Qiuyi Zhang, Samson Zhou
COLT 2023 The One-Inclusion Graph Algorithm Is Not Always Optimal Ishaq Aden-Ali, Yeshwanth Cherapanamjeri, Abhishek Shetty, Nikita Zhivotovskiy
COLT 2022 Optimal Mean Estimation Without a Variance Yeshwanth Cherapanamjeri, Nilesh Tripuraneni, Peter Bartlett, Michael Jordan
NeurIPS 2021 A Single Gradient Step Finds Adversarial Examples on Random Two-Layers Neural Networks Sebastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Remi Tachet des Combes
NeurIPS 2021 Adversarial Examples in Multi-Layer Random ReLU Networks Peter L. Bartlett, Sebastien Bubeck, Yeshwanth Cherapanamjeri
NeurIPS 2020 On Adaptive Distance Estimation Yeshwanth Cherapanamjeri, Jelani Nelson
COLT 2019 Fast Mean Estimation with Sub-Gaussian Rates Yeshwanth Cherapanamjeri, Nicolas Flammarion, Peter L. Bartlett
COLT 2019 Testing Symmetric Markov Chains Without Hitting Yeshwanth Cherapanamjeri, Peter L. Bartlett
ICML 2017 Nearly Optimal Robust Matrix Completion Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain
COLT 2017 Thresholding Based Outlier Robust PCA Yeshwanth Cherapanamjeri, Prateek Jain, Praneeth Netrapalli