Anup B. Rao
Titolo
Citata da
Citata da
Anno
Agnostic estimation of mean and covariance
KA Lai, AB Rao, S Vempala
2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016
1602016
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
1402015
Solving SDD linear systems in nearly mlog1/2n 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
1352014
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
612017
Algorithms for Lipschitz learning on graphs
R Kyng, A Rao, S Sachdeva, DA Spielman
Conference on Learning Theory, 1190-1223, 2015
562015
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
472017
Fast, provable algorithms for isotonic regression in all l_p-norms
R Kyng, A Rao, S Sachdeva
Advances in neural information processing systems, 2719-2727, 2015
422015
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
232017
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
162018
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
142019
Heterogeneous network motifs
RA Rossi, NK Ahmed, A Carranza, D Arbour, A Rao, S Kim, E Koh
arXiv preprint arXiv:1901.10026, 2019
132019
Preconditioning in expectation
MB Cohen, R Kyng, JW Pachocki, R Peng, A Rao
arXiv preprint arXiv:1401.6236, 2014
132014
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
112019
Higher-order graph convolutional networks
JB Lee, RA Rossi, X Kong, S Kim, E Koh, A Rao
arXiv preprint arXiv:1809.07697, 2018
102018
Higher-order spectral clustering for heterogeneous graphs
AG Carranza, RA Rossi, A Rao, E Koh
arXiv preprint arXiv:1810.02959, 2018
92018
HONE: higher-order network embeddings
RA Rossi, NK Ahmed, E Koh, S Kim, A Rao, YA Yadkori
arXiv preprint arXiv:1801.09303, 2018
82018
Stochastic low-rank bandits
B Kveton, C Szepesvári, A Rao, Z Wen, Y Abbasi-Yadkori, ...
arXiv preprint arXiv:1712.04644, 2017
82017
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
72020
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
52020
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
42019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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