Yeshwanth Cherapanamjeri
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
6
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COLT | The Space Complexity of Learning-Unlearning Algorithms (extended abstract). | Yeshwanth Cherapanamjeri, Sumegba Garg, Nived Rajaraman, Ayush Sekhari, Abhishek Shetty |
| 2025 | COLT | Heavy-tailed Estimation is Easier than Adversarial Contamination. | Yeshwanth Cherapanamjeri, Daniel Lee |
| 2025 | ICLR | How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion. | Giannis Daras, Yeshwanth Cherapanamjeri, Constantinos Daskalakis |
| 2025 | ICLR | Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition. | Aliyah R. Hsu, Georgia Zhou, Yeshwanth Cherapanamjeri, Yaxuan Huang, Anobel Y. Odisho, Peter R. Carroll, Bin Yu |
| 2024 | FOCS | Computing Approximate Centerpoints in Polynomial Time. | Yeshwanth Cherapanamjeri |
| 2024 | ICLR | Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making. | Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, Anobel Y. Odisho, Bin Yu |
| 2023 | COLT | The One-Inclusion Graph Algorithm is not Always Optimal. | Ishaq Aden-Ali, Yeshwanth Cherapanamjeri, Abhishek Shetty, Nikita Zhivotovskiy |
| 2023 | FOCS | Optimal PAC Bounds without Uniform Convergence. | Ishaq Aden-Ali, Yeshwanth Cherapanamjeri, Abhishek Shetty, Nikita Zhivotovskiy |
| 2023 | ICLR | Robust Algorithms on Adaptive Inputs from Bounded Adversaries. | Yeshwanth Cherapanamjeri, Sandeep Silwal, David P. Woodruff, Fred Zhang, Qiuyi Zhang, Samson Zhou |
| 2023 | SODA | Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time. | Yeshwanth Cherapanamjeri, Sandeep Silwal, David P. Woodruff, Samson Zhou |
| 2023 | STOC | What Makes a Good Fisherman? Linear Regression under Self-Selection Bias. | Yeshwanth Cherapanamjeri, Constantinos Daskalakis, Andrew Ilyas, Manolis Zampetakis |
| 2022 | COLT | Optimal Mean Estimation without a Variance. | Yeshwanth Cherapanamjeri, Nilesh Tripuraneni, Peter L. Bartlett, Michael I. Jordan |
| 2022 | STOC | Uniform approximations for Randomized Hadamard Transforms with applications. | Yeshwanth Cherapanamjeri, Jelani Nelson |
| 2021 | FOCS | Terminal Embeddings in Sublinear Time. | Yeshwanth Cherapanamjeri, Jelani Nelson |
| 2020 | FOCS | List Decodable Mean Estimation in Nearly Linear Time. | Yeshwanth Cherapanamjeri, Sidhanth Mohanty, Morris Yau |
| 2020 | STOC | Algorithms for heavy-tailed statistics: regression, covariance estimation, and beyond. | Yeshwanth Cherapanamjeri, Samuel B. Hopkins, Tarun Kathuria, Prasad Raghavendra, Nilesh Tripuraneni |
| 2019 | COLT | Testing Symmetric Markov Chains Without Hitting. | Yeshwanth Cherapanamjeri, Peter L. Bartlett |
| 2019 | COLT | Fast Mean Estimation with Sub-Gaussian Rates. | Yeshwanth Cherapanamjeri, Nicolas Flammarion, Peter L. Bartlett |
| 2017 | COLT | Thresholding Based Outlier Robust PCA. | Yeshwanth Cherapanamjeri, Prateek Jain, Praneeth Netrapalli |
| 2017 | ICML | Nearly Optimal Robust Matrix Completion. | Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain |