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Sample Efficient Graph-Based Optimization with Noisy Observations


Jun 04, 2020
Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton

* AISTATS 2019 
* The first version of this paper appeared in AISTATS 2019. Thank to community feedback, some typos and a minor issue have been identified. Specifically, on page 4, column 2, line 18, the statement $\Delta_{1,s} \ge (1+m)^{S-1-s} \Delta_1$ is not valid, and in the proof of Theorem 2, "By Lemma 1" should be "By Definition 2". These problems are fixed in this updated version published here on arxiv 

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Model Selection in Contextual Stochastic Bandit Problems


Mar 03, 2020
Aldo Pacchiano, My Phan, Yasin Abbasi-Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvari

* 12 main pages, 2 figures, 14 appendix pages 

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Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs


Jun 12, 2019
Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu


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Heterogeneous Network Motifs


Feb 04, 2019
Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh


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Higher-order Graph Convolutional Networks


Sep 12, 2018
John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao


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HONE: Higher-Order Network Embeddings


May 30, 2018
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi Yadkori


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New Insights into Bootstrapping for Bandits


May 24, 2018
Sharan Vaswani, Branislav Kveton, Zheng Wen, Anup Rao, Mark Schmidt, Yasin Abbasi-Yadkori


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Stochastic Low-Rank Bandits


Dec 13, 2017
Branislav Kveton, Csaba Szepesvari, Anup Rao, Zheng Wen, Yasin Abbasi-Yadkori, S. Muthukrishnan


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Fast, Provable Algorithms for Isotonic Regression in all $\ell_{p}$-norms


Nov 11, 2015
Rasmus Kyng, Anup Rao, Sushant Sachdeva


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