Sushrut Karmalkar

51 papers A* 20B 1Journal 27Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust Learning of a Group DRO Neuron. CoRR Guyang Cao, Shuyao Li, Sushrut Karmalkar, Jelena Diakonikolas
2025	J	`jnl`	A Fourier Space Perspective on Diffusion Models. CoRR Fabian Falck, Teodora Pandeva, Kiarash Zahirnia, Rachel Lawrence, Richard E. Turner, Edward Meeds, Javier Zazo, Sushrut Karmalkar
2025	A*	`conf`	Batch List-Decodable Linear Regression via Higher Moments. ICML Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Sihan Liu, Thanasis Pittas
2025	J	`jnl`	Batch List-Decodable Linear Regression via Higher Moments. CoRR Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Sihan Liu, Thanasis Pittas
2025	J	`jnl`	Efficient Knowledge Distillation via Curriculum Extraction. CoRR Shivam Gupta, Sushrut Karmalkar
2025	A*	`conf`	On Learning Parallel Pancakes with Mostly Uniform Weights. ICML Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Jasper C. H. Lee, Thanasis Pittas
2025	J	`jnl`	On Learning Parallel Pancakes with Mostly Uniform Weights. CoRR Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Jasper C. H. Lee, Thanasis Pittas
2025	J	`jnl`	Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing. CoRR Iskander Azangulov, Teodora Pandeva, Niranjani Prasad, Javier Zazo, Sushrut Karmalkar
2024	J	`jnl`	First Order Stochastic Optimization with Oblivious Noise. CoRR Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos
2024	A*	`conf`	Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise. NeurIPS Shuyao Li, Sushrut Karmalkar, Ilias Diakonikolas, Jelena Diakonikolas
2024	J	`jnl`	Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise. CoRR Shuyao Li, Sushrut Karmalkar, Ilias Diakonikolas, Jelena Diakonikolas
2024	A*	`conf`	Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds. ICRA David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone
2024	J	`jnl`	Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds. CoRR David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone
2024	A*	`conf`	Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination. ICML Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
2024	J	`jnl`	Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination. CoRR Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
2024	A*	`conf`	Sum-of-Squares Lower Bounds for Non-Gaussian Component Analysis. FOCS Ilias Diakonikolas, Sushrut Karmalkar, Shuo Pang, Aaron Potechin
2024	J	`jnl`	Sum-of-squares lower bounds for Non-Gaussian Component Analysis. CoRR Ilias Diakonikolas, Sushrut Karmalkar, Shuo Pang, Aaron Potechin
2023	A*	`conf`	Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions. COLT Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos
2023	J	`jnl`	Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions. CoRR Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos
2023	A*	`conf`	First Order Stochastic Optimization with Oblivious Noise. NeurIPS Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos
2022	A*	`conf`	List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering. NeurIPS Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
2022	J	`jnl`	List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering. CoRR Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
2022	A*	`conf`	Robust Sparse Mean Estimation via Sum of Squares. COLT Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
2022	J	`jnl`	Robust Sparse Mean Estimation via Sum of Squares. CoRR Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
2021	A*	`conf`	Fairness for Image Generation with Uncertain Sensitive Attributes. ICML Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price
2021	J	`jnl`	Fairness for Image Generation with Uncertain Sensitive Attributes. CoRR Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alexandros G. Dimakis, Eric Price
2021	A*	`conf`	Instance-Optimal Compressed Sensing via Posterior Sampling. ICML Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price
2021	J	`jnl`	Instance-Optimal Compressed Sensing via Posterior Sampling. CoRR Ajil Jalal, Sushrut Karmalkar, Alexandros G. Dimakis, Eric Price
2020	A*	`conf`	Approximation Schemes for ReLU Regression. COLT Ilias Diakonikolas, Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans, Mahdi Soltanolkotabi
2020	J	`jnl`	Approximation Schemes for ReLU Regression. CoRR Ilias Diakonikolas, Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans, Mahdi Soltanolkotabi
2020	A*	`conf`	On the Power of Compressed Sensing with Generative Models. ICML Akshay Kamath, Eric Price, Sushrut Karmalkar
2020	A*	`conf`	Outlier-Robust Clustering of Gaussians and Other Non-Spherical Mixtures. FOCS Ainesh Bakshi, Ilias Diakonikolas, Samuel B. Hopkins, Daniel Kane, Sushrut Karmalkar, Pravesh K. Kothari
2020	J	`jnl`	Robustly Learning any Clusterable Mixture of Gaussians. CoRR Ilias Diakonikolas, Samuel B. Hopkins, Daniel Kane, Sushrut Karmalkar
2020	A*	`conf`	Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent. ICML Surbhi Goel, Aravind Gollakota, Zhihan Jin, Sushrut Karmalkar, Adam R. Klivans
2020	J	`jnl`	Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent. CoRR Surbhi Goel, Aravind Gollakota, Zhihan Jin, Sushrut Karmalkar, Adam R. Klivans
2020	J	`jnl`	The Polynomial Method is Universal for Distribution-Free Correlational SQ Learning. CoRR Aravind Gollakota, Sushrut Karmalkar, Adam R. Klivans
2019	—	`conf`	Compressed Sensing with Adversarial Sparse Noise via L1 Regression. SOSA Sushrut Karmalkar, Eric Price
2019	J	`jnl`	Fourier Entropy-Influence Conjecture for Random Linear Threshold Functions. CoRR Sourav Chakraborty, Sushrut Karmalkar, Srijita Kundu, Satyanarayana V. Lokam, Nitin Saurabh
2019	J	`jnl`	List-Decodable Linear Regression. CoRR Sushrut Karmalkar, Adam R. Klivans, Pravesh K. Kothari
2019	A*	`conf`	List-decodable Linear Regression. NeurIPS Sushrut Karmalkar, Adam R. Klivans, Pravesh Kothari
2019	J	`jnl`	Lower Bounds for Compressed Sensing with Generative Models. CoRR Akshay Kamath, Sushrut Karmalkar, Eric Price
2019	A*	`conf`	Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering. NeurIPS Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Eric Price, Alistair Stewart
2019	J	`jnl`	Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering. CoRR Ilias Diakonikolas, Sushrut Karmalkar, Daniel Kane, Eric Price, Alistair Stewart
2019	A*	`conf`	Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals. NeurIPS Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans
2019	J	`jnl`	Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals. CoRR Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans
2018	J	`jnl`	Compressed Sensing with Adversarial Sparse Noise via L1 Regression. CoRR Sushrut Karmalkar, Eric Price
2018	—	`conf`	Depth separation and weight-width trade-offs for sigmoidal neural networks. ICLR (Workshop) Amit Deshpande, Navin Goyal, Sushrut Karmalkar
2018	B	`conf`	Fourier Entropy-Influence Conjecture for Random Linear Threshold Functions. LATIN Sourav Chakraborty, Sushrut Karmalkar, Srijita Kundu, Satyanarayana V. Lokam, Nitin Saurabh
2017	—	`conf`	On Robust Concepts and Small Neural Nets. ICLR (Workshop) Amit Deshpande, Sushrut Karmalkar
2017	A*	`conf`	Robust Polynomial Regression up to the Information Theoretic Limit. FOCS Daniel Kane, Sushrut Karmalkar, Eric Price
2017	J	`jnl`	Robust polynomial regression up to the information theoretic limit. CoRR Daniel M. Kane, Sushrut Karmalkar, Eric Price