Gaussian processes for survival analysis T Fernández, N Rivera, YW Teh Advances in Neural Information Processing Systems 29, 5021-5029, 2016 | 101 | 2016 |
Fast consensus for voting on general expander graphs C Cooper, R Elsässer, T Radzik, N Rivera, T Shiraga International Symposium on Distributed Computing, 248-262, 2015 | 46 | 2015 |
Fast plurality consensus in regular expanders C Cooper, T Radzik, N Rivera, T Shiraga In 31st International Symposium on Distributed Computing (DISC 2017)., 2017 | 40 | 2017 |
Grid Pathfinding on the 2k Neighborhoods N Rivera, C Hernández, J Baier Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 29 | 2017 |
The linear voting model C Cooper, N Rivera 43rd International Colloquium on Automata, Languages, and Programming (ICALP …, 2016 | 22 | 2016 |
Incorporating weights into real-time heuristic search N Rivera, JA Baier, C Hernández Artificial Intelligence 225, 1-23, 2015 | 21 | 2015 |
Discordant voting processes on finite graphs C Cooper, M Dyer, A Frieze, N Rivera SIAM Journal on Discrete Mathematics 32 (4), 2398-2420, 2018 | 19 | 2018 |
Weighted real-time heuristic search N Rivera, JA Baier, C Hernández Proceedings of the 2013 international conference on Autonomous agents and …, 2013 | 16 | 2013 |
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data T Fernandez, N Rivera, W Xu, A Gretton International Conference on Machine Learning, 3112-3122, 2020 | 15 | 2020 |
The 2^ k Neighborhoods for Grid Path Planning N Rivera, C Hernández, N Hormazábal, JA Baier Journal of Artificial Intelligence Research 67, 81-113, 2020 | 14 | 2020 |
Best-of-Three voting on dense graphs N Kang, N Rivera The 31st ACM Symposium on Parallelism in Algorithms and Architectures, 115-121, 2019 | 13 | 2019 |
The coalescing-branching random walk on expanders and the dual epidemic process C Cooper, T Radzik, N Rivera Proceedings of the 2016 ACM Symposium on Principles of Distributed Computing …, 2016 | 12 | 2016 |
A reproducing kernel Hilbert space log‐rank test for the two‐sample problem T Fernández, N Rivera Scandinavian Journal of Statistics 48 (4), 1384-1432, 2021 | 11 | 2021 |
Kaplan-Meier V-and U-statistics T Fernández, N Rivera Electronic Journal of Statistics 14 (1), 1872-1916, 2020 | 11 | 2020 |
Multiple random walks on graphs: mixing few to cover many N Rivera, T Sauerwald, J Sylvester Combinatorics, Probability and Computing 32 (4), 594-637, 2023 | 8 | 2023 |
Improved Cover Time Bounds for the Coalescing-Branching Random Walk on Graphs C Cooper, T Radzik, N Rivera Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and …, 2017 | 8 | 2017 |
Reconnection with the ideal tree: A new approach to real-time search N Rivera, L Illanes, JA Baier, C Hernández Journal of Artificial Intelligence Research 50, 235-264, 2014 | 8 | 2014 |
A general framework for the analysis of kernel-based tests T Fernández, N Rivera Journal of Machine Learning Research 25 (95), 1-40, 2024 | 6 | 2024 |
Dispersion processes C Cooper, A McDowell, T Radzik, N Rivera, T Shiraga Random Structures & Algorithms 53 (4), 561-585, 2018 | 6 | 2018 |
Reconnecting with the ideal tree: An alternative to heuristic learning in real-time search N Rivera, L Illanes, JA Baier, C Hernández Sixth Annual Symposium on Combinatorial Search, 2013 | 6 | 2013 |