| Secure byzantine-robust distributed learning via clustering RK Velicheti, D Xia, O Koyejo arXiv preprint arXiv:2110.02940, 2021 | 16 | 2021 |
| Learning minimax-optimal terminal state estimators and smoothers X Zhang, RK Velicheti, T Başar IFAC-PapersOnLine 56 (2), 11545-11550, 2023 | 3 | 2023 |
| On the choice of number of superstates in the aggregation of Markov chains A Srivastava, RK Velicheti, SM Salapaka Pattern Recognition Letters 159, 181-188, 2022 | 2 | 2022 |
| Value of Information in Games with Multiple Strategic Information Providers RK Velicheti, M Bastopcu, T Başar arXiv preprint arXiv:2306.14886, 2023 | 1 | 2023 |
| Strategic Information Design in Quadratic Multidimensional Persuasion Games with Two Senders RK Velicheti, M Bastopcu, T Başar 2023 American Control Conference (ACC), 1716-1722, 2023 | 1 | 2023 |
| On Determining and Qualifying the Number of Superstates in Aggregation of Markov Chains A Srivastava, RK Velicheti, SM Salapaka arXiv preprint arXiv:2010.05341, 2020 | 1 | 2020 |
| Learning How to Strategically Disclose Information RK Velicheti, M Bastopcu, SR Etesami, T Başar arXiv preprint arXiv:2403.08741, 2024 | | 2024 |
| Learning to Control under Communication Constraints S Aggarwal, RK Velicheti, T Başar IEEE Control Systems Letters, 2023 | | 2023 |
| Design of Experiments with Imputable Feature Data RK Velicheti, A Srivastava, SM Salapaka 2022 Eighth Indian Control Conference (ICC), 25-30, 2022 | | 2022 |
| A control system viewpoint for manipulating heat equation and maximum entropy principle for design of experiments RK Velicheti University of Illinois at Urbana-Champaign, 2021 | | 2021 |
| Design of Experiments with Imputable Feature Data: An Entropy-Based Approach RK Velicheti, A Srivastava, SM Salapaka arXiv preprint arXiv:2103.15628, 2021 | | 2021 |
Srinivasa SalapakaUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
