Anup Rao

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 31

Top Topics

Spectral Clustering

Algorithmic Stability

Bandit Problems

Maximum Matching

Top Venues

Publications

Aniket Murhekar, David Arbour, Tung Mai, Anup Rao
Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud. CoRR (2023)
Tung Mai, Alexander Munteanu, Cameron Musco, Anup Rao, Chris Schwiegelshohn, David P. Woodruff
Optimal Sketching Bounds for Sparse Linear Regression. AISTATS (2023)
Renzhi Wu, Saayan Mitra, Xiang Chen, Anup Rao
Decentralized Personalized Online Federated Learning. CoRR (2023)
Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao
Sample Constrained Treatment Effect Estimation. CoRR (2022)
Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao
Sample Constrained Treatment Effect Estimation. NeurIPS (2022)
Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup Rao, Tung Mai
Fundamental Tradeoffs in Distributionally Adversarial Training. CoRR (2021)
Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora
Machine Unlearning via Algorithmic Stability. CoRR (2021)
Tung Mai, Cameron Musco, Anup Rao
Coresets for Classification - Simplified and Strengthened. NeurIPS (2021)
Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora
Machine Unlearning via Algorithmic Stability. COLT (2021)
Sridhar Mahadevan, Anup Rao, Georgios Theocharous, Jennifer Healey
Multiscale Manifold Warping. CoRR (2021)
Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra
Graph Neural Networks with Heterophily. AAAI (2021)
Ryan A. Rossi, Anup Rao, Tung Mai, Nesreen K. Ahmed
Fast and Accurate Estimation of Typed Graphlets. WWW (Companion Volume) (2020)
Aldo Pacchiano, My Phan, Yasin Abbasi-Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvári
Model Selection in Contextual Stochastic Bandit Problems. CoRR (2020)
Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh
Higher-order Clustering in Complex Heterogeneous Networks. KDD (2020)
Alireza Farhadi, Mohammad Taghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi
Approximate Maximum Matching in Random Streams. SODA (2020)
Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton
Sample Efficient Graph-Based Optimization with Noisy Observations. CoRR (2020)
Aldo Pacchiano, My Phan, Yasin Abbasi-Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvári
Model Selection in Contextual Stochastic Bandit Problems. NeurIPS (2020)
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori
A Structural Graph Representation Learning Framework. WSDM (2020)
Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed
From Closing Triangles to Closing Higher-Order Motifs. WWW (Companion Volume) (2020)
Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra
Latent Network Summarization: Bridging Network Embedding and Summarization. KDD (2019)
Alireza Farhadi, MohammadTaghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi
Approximate Maximum Matching in Random Streams. CoRR (2019)
John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao
Graph Convolutional Networks with Motif-based Attention. CIKM (2019)
Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh
Heterogeneous Network Motifs. CoRR (2019)
Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs. CoRR (2019)
Tung Mai, Anup Rao, Matt Kapilevich, Ryan A. Rossi, Yasin Abbasi-Yadkori, Ritwik Sinha
On Densification for Minwise Hashing. UAI (2019)
Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton
Sample Efficient Graph-Based Optimization with Noisy Observations. AISTATS (2019)
Di Jin, Ryan A. Rossi, Danai Koutra, Eunyee Koh, Sungchul Kim, Anup Rao
Bridging Network Embedding and Graph Summarization. CoRR (2018)
Sharan Vaswani, Branislav Kveton, Zheng Wen, Anup Rao, Mark Schmidt, Yasin Abbasi-Yadkori
New Insights into Bootstrapping for Bandits. CoRR (2018)
Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh
Higher-order Spectral Clustering for Heterogeneous Graphs. CoRR (2018)
John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao
Higher-order Graph Convolutional Networks. CoRR (2018)
Branislav Kveton, Csaba Szepesvári, Anup Rao, Zheng Wen, Yasin Abbasi-Yadkori, S. Muthukrishnan
Stochastic Low-Rank Bandits. CoRR (2017)
Rasmus Kyng, Anup Rao, Sushant Sachdeva, Daniel A. Spielman
Algorithms for Lipschitz Learning on Graphs. CoRR (2015)
Rasmus Kyng, Anup Rao, Sushant Sachdeva
-norms. CoRR (2015)
Peter Chin, Anup Rao, Van Vu
Stochastic Block Model and Community Detection in the Sparse Graphs: A spectral algorithm with optimal rate of recovery. CoRR (2015)
Peter Chin, Anup Rao, Van Vu
Stochastic Block Model and Community Detection in Sparse Graphs: A spectral algorithm with optimal rate of recovery. COLT (2015)
Rasmus Kyng, Anup Rao, Sushant Sachdeva
Fast, Provable Algorithms for Isotonic Regression in all L_p-norms. NIPS (2015)
Rasmus Kyng, Anup Rao, Sushant Sachdeva, Daniel A. Spielman
Algorithms for Lipschitz Learning on Graphs. COLT (2015)