Sushrut Karmalkar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
7
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | On Learning Parallel Pancakes with Mostly Uniform Weights. | Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Jasper C. H. Lee, Thanasis Pittas |
| 2025 | ICML | Batch List-Decodable Linear Regression via Higher Moments. | Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Sihan Liu, Thanasis Pittas |
| 2024 | FOCS | Sum-of-Squares Lower Bounds for Non-Gaussian Component Analysis. | Ilias Diakonikolas, Sushrut Karmalkar, Shuo Pang, Aaron Potechin |
| 2024 | ICML | Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination. | Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas |
| 2024 | ICRA | Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds. | David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone |
| 2023 | COLT | Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions. | Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos |
| 2022 | COLT | Robust Sparse Mean Estimation via Sum of Squares. | Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas |
| 2021 | ICML | Instance-Optimal Compressed Sensing via Posterior Sampling. | Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price |
| 2021 | ICML | Fairness for Image Generation with Uncertain Sensitive Attributes. | Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price |
| 2020 | COLT | Approximation Schemes for ReLU Regression. | Ilias Diakonikolas, Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans, Mahdi Soltanolkotabi |
| 2020 | FOCS | Outlier-Robust Clustering of Gaussians and Other Non-Spherical Mixtures. | Ainesh Bakshi, Ilias Diakonikolas, Samuel B. Hopkins, Daniel Kane, Sushrut Karmalkar, Pravesh K. Kothari |
| 2020 | ICML | Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent. | Surbhi Goel, Aravind Gollakota, Zhihan Jin, Sushrut Karmalkar, Adam R. Klivans |
| 2020 | ICML | On the Power of Compressed Sensing with Generative Models. | Akshay Kamath, Eric Price, Sushrut Karmalkar |
| 2019 | SODA | Compressed Sensing with Adversarial Sparse Noise via L1 Regression. | Sushrut Karmalkar, Eric Price |
| 2018 | ICLR | Depth separation and weight-width trade-offs for sigmoidal neural networks. | Amit Deshpande, Navin Goyal, Sushrut Karmalkar |
| 2018 | LATIN | Fourier Entropy-Influence Conjecture for Random Linear Threshold Functions. | Sourav Chakraborty, Sushrut Karmalkar, Srijita Kundu, Satyanarayana V. Lokam, Nitin Saurabh |
| 2017 | FOCS | Robust Polynomial Regression up to the Information Theoretic Limit. | Daniel Kane, Sushrut Karmalkar, Eric Price |
| 2017 | ICLR | On Robust Concepts and Small Neural Nets. | Amit Deshpande, Sushrut Karmalkar |