| Optimal bidding strategies in dynamic auctions with budget constraints R Gummadi, PB Key, A Proutiere 2011 49th Annual Allerton Conference on Communication, Control, and …, 2011 | 84* | 2011 |
| Relaying a fountain code across multiple nodes R Gummadi, RS Sreenivas 2008 IEEE Information Theory Workshop, 149-153, 2008 | 67 | 2008 |
| Mean field equilibria of multi armed bandit games R Gummadi, R Johari, JY Yu 2012 50th Annual Allerton Conference on Communication, Control, and …, 2012 | 34* | 2012 |
| Variational rejection sampling A Grover, R Gummadi, M Lazaro-Gredilla, D Schuurmans, S Ermon International Conference on Artificial Intelligence and Statistics, 823-832, 2018 | 28 | 2018 |
| Surrogate objectives for batch policy optimization in one-step decision making M Chen, R Gummadi, C Harris, D Schuurmans NeurIPS 2019, 2019 | 24 | 2019 |
| Analysis of medicare pay-for-performance contracts H Bastani, M Bayati, M Braverman, R Gummadi, R Johari EC 2017 Workshop on Mechanism Design for Social Good, 2017 | 22 | 2017 |
| Computing the capacity region of a wireless network R Gummadi, K Jung, D Shah, R Sreenivas IEEE INFOCOM 2009, 1341-1349, 2009 | 16 | 2009 |
| Characterizing the Gap Between Actor-Critic and Policy Gradient J Wen, S Kumar, R Gummadi, D Schuurmans ICML 2021, 2021 | 12 | 2021 |
| Feasible rate allocation in wireless networks R Gummadi, K Jung, D Shah, R Sreenivas IEEE INFOCOM 2008-The 27th Conference on Computer Communications, 995-1003, 2008 | 11 | 2008 |
| Coding and scheduling in networks for erasures and broadcast SR Gummadi UIUC, 2011 | 8 | 2011 |
| The role of feedback in the choice between routing and coding for wireless unicast R Gummadi, L Massoulie, R Sreenivas 2010 IEEE International Symposium on Network Coding (NetCod), 1-6, 2010 | 6 | 2010 |
| On tractable instances of modular supervisory control R Gummadi, N Singh, RS Sreenivas IEEE transactions on automatic control 56 (7), 1621-1635, 2010 | 5 | 2010 |
| Broadcasting with side information R Gummadi, A Shokrollahi, R Sreenivas 2010 IEEE Information Theory Workshop on Information Theory (ITW 2010, Cairo …, 2010 | 5 | 2010 |
| Understanding and leveraging overparameterization in recursive value estimation C Xiao, B Dai, J Mei, OA Ramirez, R Gummadi, C Harris, D Schuurmans International Conference on Learning Representations, 2021 | 3 | 2021 |
| Optimal control of a broadcasting server R Gummadi Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009 | 3 | 2009 |
| Resampled belief networks for variational inference R Gummadi NIPS Workshop on Advances in Variational Inference, 2014 | 2 | 2014 |
| A Parametric Class of Approximate Gradient Updates for Policy Optimization R Gummadi, S Kumar, J Wen, D Schuurmans International Conference on Machine Learning, 7998-8015, 2022 | | 2022 |
| Cache Management Using Machine Learning D Altınbüken, K Chen, R Gummadi, X Ju, N Sarda, Z Song | | 2022 |
| Gradient Analysis and Approximations for Off-Policy Optimization R Gummadi, D Schuurmans Neurips 2020 Offline RL workshop, 2020 | | 2020 |
| HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Network Z Song, K Chen, N Sarda, D Altınbüken, E Brevdo, J Coleman, X Ju, ... | | |
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
