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Publication search results
found 39 matches
- 2024
- Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas:
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination. ICML 2024 - David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone:
Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds. ICRA 2024: 4990-4997 - David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone:
Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds. CoRR abs/2402.10865 (2024) - Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas:
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination. CoRR abs/2403.10416 (2024) - Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos:
First Order Stochastic Optimization with Oblivious Noise. CoRR abs/2408.02090 (2024) - 2023
- Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos:
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions. COLT 2023: 5453-5475 - Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos:
First Order Stochastic Optimization with Oblivious Noise. NeurIPS 2023 - Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos:
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions. CoRR abs/2309.11657 (2023) - 2022
- Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas:
Robust Sparse Mean Estimation via Sum of Squares. COLT 2022: 4703-4763 - Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas:
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering. NeurIPS 2022 - Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas:
Robust Sparse Mean Estimation via Sum of Squares. CoRR abs/2206.03441 (2022) - Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas:
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering. CoRR abs/2206.05245 (2022) - 2021
- Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price:
Instance-Optimal Compressed Sensing via Posterior Sampling. ICML 2021: 4709-4720 - Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price:
Fairness for Image Generation with Uncertain Sensitive Attributes. ICML 2021: 4721-4732 - Ajil Jalal, Sushrut Karmalkar, Alexandros G. Dimakis, Eric Price:
Instance-Optimal Compressed Sensing via Posterior Sampling. CoRR abs/2106.11438 (2021) - Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alexandros G. Dimakis, Eric Price:
Fairness for Image Generation with Uncertain Sensitive Attributes. CoRR abs/2106.12182 (2021) - 2020
- Ilias Diakonikolas, Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans, Mahdi Soltanolkotabi:
Approximation Schemes for ReLU Regression. COLT 2020: 1452-1485 - Ainesh Bakshi, Ilias Diakonikolas, Samuel B. Hopkins, Daniel Kane, Sushrut Karmalkar, Pravesh K. Kothari:
Outlier-Robust Clustering of Gaussians and Other Non-Spherical Mixtures. FOCS 2020: 149-159 - Surbhi Goel, Aravind Gollakota, Zhihan Jin, Sushrut Karmalkar, Adam R. Klivans:
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent. ICML 2020: 3587-3596 - Akshay Kamath, Eric Price, Sushrut Karmalkar:
On the Power of Compressed Sensing with Generative Models. ICML 2020: 5101-5109 - Ilias Diakonikolas, Samuel B. Hopkins, Daniel Kane, Sushrut Karmalkar:
Robustly Learning any Clusterable Mixture of Gaussians. CoRR abs/2005.06417 (2020) - Ilias Diakonikolas, Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans, Mahdi Soltanolkotabi:
Approximation Schemes for ReLU Regression. CoRR abs/2005.12844 (2020) - Surbhi Goel, Aravind Gollakota, Zhihan Jin, Sushrut Karmalkar, Adam R. Klivans:
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent. CoRR abs/2006.12011 (2020) - Aravind Gollakota, Sushrut Karmalkar, Adam R. Klivans:
The Polynomial Method is Universal for Distribution-Free Correlational SQ Learning. CoRR abs/2010.11925 (2020) - 2019
- Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Eric Price, Alistair Stewart:
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering. NeurIPS 2019: 10688-10699 - Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans:
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals. NeurIPS 2019: 8582-8591 - Sushrut Karmalkar, Adam R. Klivans, Pravesh Kothari:
List-decodable Linear Regression. NeurIPS 2019: 7423-7432 - Sushrut Karmalkar, Eric Price:
Compressed Sensing with Adversarial Sparse Noise via L1 Regression. SOSA 2019: 19:1-19:19 - Sourav Chakraborty, Sushrut Karmalkar, Srijita Kundu, Satyanarayana V. Lokam, Nitin Saurabh:
Fourier Entropy-Influence Conjecture for Random Linear Threshold Functions. CoRR abs/1903.11635 (2019) - Sushrut Karmalkar, Adam R. Klivans, Pravesh K. Kothari:
List-Decodable Linear Regression. CoRR abs/1905.05679 (2019)
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