Publications
Preprints and in submission

Ma, T., Verchand, K.A., and Samworth, R.J. (2024), Highprobability minimax lower bounds (preprint)

Lou, M., Verchand, K.A., and Pananjady, A. (2024), Hyperparameter tuning via trajectory predictions: Stochastic proxlinear methods in matrix sensing ( preprint)

Chandrasekher, K.A., El Alaoui, A., and Montanari, A. (2020), Imputation for HighDimensional Linear Regression (preprint).

Mardia, J., Asi, H., Chandrasekher, K.A. (2020), Finding Planted Cliques in Sublinear Time (preprint).
Published

Chandrasekher, K.A., Lou, M., and Panajady, A. (2024), Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization, Information and Inference. (Extended abstract at Algorithmic Learning Theory (ALT))

Mardia, J., Verchand, K.A., and Wein, Alexander S. (2024), Lowdegree phase transitions for detecting a planted clique in sublinear time, Conference on Learning Theory (COLT).

Chandrasekher, K.A., Pananjady, A., and Thrampoulidis, C. (2023), Sharp global convergence guarantees for iterative nonconvex optimization: A Gaussian process perspective, Annals of Statistics. Runnerup: Best paper prize for young researchers in continuous optimization (ICCOPT 2022)

Lee, K., Chandrasekher, K.A., Pedarsani, R., and Ramchandran, K. (2019), SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing Based on SparseGraph Codes, IEEE Transactions on Signal Processing.

Cheng, G., Chandrasekher, K.A., and Walrand, J. (2019), Static & Dynamic Appointment Scheduling with Stochastic Gradient Descent, American Control Conference (ACC).

Lazar, D., Chandrasekher, K.A., Pedarsani, R., and Sadigh, D. (2018), Maximizing Road Capacity Using Cars that Influence People, Conference on Decision and Control (CDC).

Chandrasekher, K.A., Lee, K., Kairouz, P., Pedarsani, R., and Ramchandran, K. (2017), Asynchronous and Noncoherent Neighbor Discovery for the IoT Using SparseGraph Codes, International Conference on Communications (ICC).

Chandrasekher, K.A., Ocal, O., and Ramchandran, K. (2017), Density Evolution on a Class of Smeared Random Graphs: A Theoretical Framework for Fast MRI, International Symposium on Information Theory (ISIT).