Karmalkar, Sushrut

20 publications

ICML 2025 Batch List-Decodable Linear Regression via Higher Moments Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Sihan Liu, Thanasis Pittas

ICLRW 2025 Efficient Knowledge Distillation via Curriculum Extraction Shivam Gupta, Sushrut Karmalkar

ICML 2025 On Learning Parallel Pancakes with Mostly Uniform Weights Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Jasper C.H. Lee, Thanasis Pittas

NeurIPS 2024 Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise Shuyao Li, Sushrut Karmalkar, Ilias Diakonikolas, Jelena Diakonikolas

ICML 2024 Robust Sparse Estimation for Gaussians with Optimal Error Under Huber Contamination Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas

COLT 2023 Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions Ilias Diakonikolas, Sushrut Karmalkar, Jong Ho Park, Christos Tzamos

NeurIPS 2023 First Order Stochastic Optimization with Oblivious Noise Ilias Diakonikolas, Sushrut Karmalkar, Jong Ho Park, Christos Tzamos

NeurIPS 2022 List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas

COLT 2022 Robust Sparse Mean Estimation via Sum of Squares Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas

ICML 2021 Fairness for Image Generation with Uncertain Sensitive Attributes Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price

ICML 2021 Instance-Optimal Compressed Sensing via Posterior Sampling Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price

COLT 2020 Approximation Schemes for ReLU Regression Ilias Diakonikolas, Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans, Mahdi Soltanolkotabi

NeurIPSW 2020 Compressed Sensing with Approximate Priors via Conditional Resampling Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price

ICML 2020 On the Power of Compressed Sensing with Generative Models Akshay Kamath, Eric Price, Sushrut Karmalkar

ICML 2020 Superpolynomial Lower Bounds for Learning One-Layer Neural Networks Using Gradient Descent Surbhi Goel, Aravind Gollakota, Zhihan Jin, Sushrut Karmalkar, Adam Klivans

NeurIPS 2019 List-Decodable Linear Regression Sushrut Karmalkar, Adam Klivans, Pravesh Kothari

NeurIPSW 2019 Lower Bounds for Compressed Sensing with Generative Models Akshay Kamath, Sushrut Karmalkar, Eric Price

NeurIPS 2019 Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ecprice, Alistair Stewart

NeurIPS 2019 Time/Accuracy Tradeoffs for Learning a ReLU with Respect to Gaussian Marginals Surbhi Goel, Sushrut Karmalkar, Adam Klivans

ICLR 2017 On Robust Concepts and Small Neural Nets Amit Deshpande, Sushrut Karmalkar