Agnostic estimation of mean and covariance KA Lai, AB Rao, S Vempala
2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016
275 2016 Stochastic block model and community detection in sparse graphs: A spectral algorithm with optimal rate of recovery P Chin, A Rao, V Vu
Conference on Learning Theory, 391-423, 2015
172 2015 Solving SDD linear systems in nearly m log1/2 n time MB Cohen, R Kyng, GL Miller, JW Pachocki, R Peng, AB Rao, SC Xu
Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014
172 2014 Almost-linear-time algorithms for markov chains and new spectral primitives for directed graphs MB Cohen, J Kelner, J Peebles, R Peng, AB Rao, A Sidford, A Vladu
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017
83 2017 Algorithms for Lipschitz learning on graphs R Kyng, A Rao, S Sachdeva, DA Spielman
Conference on Learning Theory, 1190-1223, 2015
70 2015 Sampling random spanning trees faster than matrix multiplication D Durfee, R Kyng, J Peebles, AB Rao, S Sachdeva
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017
63 2017 Graph convolutional networks with motif-based attention JB Lee, RA Rossi, X Kong, S Kim, E Koh, A Rao
Proceedings of the 28th ACM international conference on information and …, 2019
57 2019 Solving directed Laplacian systems in nearly-linear time through sparse LU factorizations MB Cohen, J Kelner, R Kyng, J Peebles, R Peng, AB Rao, A Sidford
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018
30 2018 Determinant-preserving sparsification of SDDM matrices with applications to counting and sampling spanning trees D Durfee, J Peebles, R Peng, AB Rao
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017
29 2017 A structural graph representation learning framework RA Rossi, NK Ahmed, E Koh, S Kim, A Rao, Y Abbasi-Yadkori
Proceedings of the 13th international conference on web search and data …, 2020
27 2020 Approximate maximum matching in random streams A Farhadi, MT Hajiaghayi, T Mah, A Rao, RA Rossi
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
27 2020 Heterogeneous network motifs RA Rossi, NK Ahmed, A Carranza, D Arbour, A Rao, S Kim, E Koh
arXiv preprint arXiv:1901.10026, 2019
25 2019 Latent network summarization: Bridging network embedding and summarization D Jin, RA Rossi, E Koh, S Kim, A Rao, D Koutra
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
23 2019 Higher-order graph convolutional networks JB Lee, RA Rossi, X Kong, S Kim, E Koh, A Rao
arXiv preprint arXiv:1809.07697, 2018
20 2018 Stochastic low-rank bandits B Kveton, C Szepesvári, A Rao, Z Wen, Y Abbasi-Yadkori, ...
arXiv preprint arXiv:1712.04644, 2017
19 2017 Preconditioning in expectation MB Cohen, R Kyng, JW Pachocki, R Peng, A Rao
arXiv preprint arXiv:1401.6236, 2014
16 2014 HONE: Higher-order network embeddings RA Rossi, NK Ahmed, E Koh, S Kim, A Rao, YA Yadkori
arXiv preprint arXiv:1801.09303, 2018
12 2018 Higher-order spectral clustering for heterogeneous graphs AG Carranza, RA Rossi, A Rao, E Koh
arXiv preprint arXiv:1810.02959, 2018
10 2018 Higher-order ranking and link prediction: From closing triangles to closing higher-order motifs RA Rossi, A Rao, S Kim, E Koh, NK Ahmed, G Wu
arXiv preprint arXiv:1906.05059, 2019
8 2019 Fast, Provable Algorithms for Isotonic Regression in all R Kyng, A Rao, S Sachdeva
arXiv preprint arXiv:1507.00710, 2015
8 2015 
Richard PengUniversity of WaterlooDirección de correo verificada de uwaterloo.ca
