Saffron: A fast, efficient, and robust framework for group testing based on sparse-graph codes K Lee, K Chandrasekher, R Pedarsani, K Ramchandran IEEE Transactions on Signal Processing 67 (17), 4649-4664, 2019 | 85 | 2019 |
Maximizing road capacity using cars that influence people DA Lazar, R Pedarsani, K Chandrasekher, D Sadigh 2018 IEEE Conference on Decision and Control (CDC), 1801-1808, 2018 | 42 | 2018 |
Sharp global convergence guarantees for iterative nonconvex optimization with random data KA Chandrasekher, A Pananjady, C Thrampoulidis The Annals of Statistics 51 (1), 179-210, 2023 | 24* | 2023 |
Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization KA Verchand, M Lou, A Pananjady International Conference on Algorithmic Learning Theory, 808-809, 2024 | 10* | 2024 |
Finding planted cliques in sublinear time J Mardia, H Asi, KA Chandrasekher arXiv preprint arXiv:2004.12002, 2020 | 9 | 2020 |
Asynchronous and noncoherent neighbor discovery for the iot using sparse-graph codes K Chandrasekher, K Lee, P Kairouz, R Pedarsani, K Ramchandran 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 9 | 2017 |
Imputation for High-Dimensional Linear Regression KA Chandrasekher, AE Alaoui, A Montanari arXiv preprint arXiv:2001.09180, 2020 | 3 | 2020 |
Static & dynamic appointment scheduling with stochastic gradient descent G Cheng, K Chandrasekher, J Walrand 2019 American Control Conference (ACC), 2092-2099, 2019 | 3 | 2019 |
Hyperparameter tuning via trajectory predictions: Stochastic prox-linear methods in matrix sensing M Lou, KA Verchand, A Pananjady arXiv preprint arXiv:2402.01599, 2024 | 2 | 2024 |
Density evolution on a class of smeared random graphs K Chandrasekher, O Ocal, K Ramchandran 2017 IEEE International Symposium on Information Theory (ISIT), 2915-2919, 2017 | 2* | 2017 |
Low-degree phase transitions for detecting a planted clique in sublinear time J Mardia, KA Verchand, AS Wein arXiv preprint arXiv:2402.05451, 2024 | | 2024 |
Some Results in High Dimensional Statistics: Iterative Algorithms and Regression with Missing Data KA Verchand Stanford University, 2023 | | 2023 |