Anup Rao

39 papers A* 10A 6Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Evaluation and incident prevention in an enterprise AI assistant.
AI Mag.
Akash V. Maharaj, David Arbour, Daniel Lee, Uttaran Bhattacharya, Anup Rao, Austin Zane, Avi Feller, Kun Qian, Sajjadur Rahman, Yunyao Li
2025 A conf
On Distributional Discrepancy for Experimental Design with General Assignment Probabilities.
AISTATS
Anup Rao, Peng Zhang
2023 J jnl
Decentralized Personalized Online Federated Learning.
CoRR
Renzhi Wu, Saayan Mitra, Xiang Chen, Anup Rao
2023 J jnl
Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud.
CoRR
Aniket Murhekar, David Arbour, Tung Mai, Anup Rao
2023 A conf
Optimal Sketching Bounds for Sparse Linear Regression.
AISTATS
Tung Mai, Alexander Munteanu, Cameron Musco, Anup Rao, Chris Schwiegelshohn, David P. Woodruff
2022 A* conf
Sample Constrained Treatment Effect Estimation.
NeurIPS
Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao
2022 J jnl
Sample Constrained Treatment Effect Estimation.
CoRR
Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao
2021 A* conf
Coresets for Classification - Simplified and Strengthened.
NeurIPS
Tung Mai, Cameron Musco, Anup Rao
2021 J jnl
Fundamental Tradeoffs in Distributionally Adversarial Training.
CoRR
Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup Rao, Tung Mai
2021 A* conf
Graph Neural Networks with Heterophily.
AAAI
Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra
2021 A* conf
Machine Unlearning via Algorithmic Stability.
COLT
Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora
2021 J jnl
Machine Unlearning via Algorithmic Stability.
CoRR
Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora
2021 J jnl
Multiscale Manifold Warping.
CoRR
Sridhar Mahadevan, Anup Rao, Georgios Theocharous, Jennifer Healey
2020 A conf
A Structural Graph Representation Learning Framework.
WSDM
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori
2020 A* conf
Approximate Maximum Matching in Random Streams.
SODA
Alireza Farhadi, Mohammad Taghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi
2020 — conf
Fast and Accurate Estimation of Typed Graphlets.
WWW (Companion Volume)
Ryan A. Rossi, Anup Rao, Tung Mai, Nesreen K. Ahmed
2020 — conf
From Closing Triangles to Closing Higher-Order Motifs.
WWW (Companion Volume)
Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed
2020 A* conf
Higher-order Clustering in Complex Heterogeneous Networks.
KDD
Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh
2020 A* conf
Model Selection in Contextual Stochastic Bandit Problems.
NeurIPS
Aldo Pacchiano, My Phan, Yasin Abbasi-Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvári
2020 J jnl
Model Selection in Contextual Stochastic Bandit Problems.
CoRR
Aldo Pacchiano, My Phan, Yasin Abbasi-Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvári
2020 J jnl
Sample Efficient Graph-Based Optimization with Noisy Observations.
CoRR
Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton
2019 J jnl
Approximate Maximum Matching in Random Streams.
CoRR
Alireza Farhadi, MohammadTaghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi
2019 A conf
Graph Convolutional Networks with Motif-based Attention.
CIKM
John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao
2019 J jnl
Heterogeneous Network Motifs.
CoRR
Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh
2019 J jnl
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs.
CoRR
Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu
2019 A* conf
Latent Network Summarization: Bridging Network Embedding and Summarization.
KDD
Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra
2019 A conf
On Densification for Minwise Hashing.
UAI
Tung Mai, Anup Rao, Matt Kapilevich, Ryan A. Rossi, Yasin Abbasi-Yadkori, Ritwik Sinha
2019 A conf
Sample Efficient Graph-Based Optimization with Noisy Observations.
AISTATS
Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton
2018 J jnl
Bridging Network Embedding and Graph Summarization.
CoRR
Di Jin, Ryan A. Rossi, Danai Koutra, Eunyee Koh, Sungchul Kim, Anup Rao
2018 J jnl
Higher-order Graph Convolutional Networks.
CoRR
John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao
2018 J jnl
Higher-order Spectral Clustering for Heterogeneous Graphs.
CoRR
Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh
2018 J jnl
New Insights into Bootstrapping for Bandits.
CoRR
Sharan Vaswani, Branislav Kveton, Zheng Wen, Anup Rao, Mark Schmidt, Yasin Abbasi-Yadkori
2017 J jnl
Stochastic Low-Rank Bandits.
CoRR
Branislav Kveton, Csaba Szepesvári, Anup Rao, Zheng Wen, Yasin Abbasi-Yadkori, S. Muthukrishnan
2015 A* conf
Algorithms for Lipschitz Learning on Graphs.
COLT
Rasmus Kyng, Anup Rao, Sushant Sachdeva, Daniel A. Spielman
2015 J jnl
Algorithms for Lipschitz Learning on Graphs.
CoRR
Rasmus Kyng, Anup Rao, Sushant Sachdeva, Daniel A. Spielman
2015 — conf
Fast, Provable Algorithms for Isotonic Regression in all L_p-norms.
NIPS
Rasmus Kyng, Anup Rao, Sushant Sachdeva
2015 J jnl
Fast, Provable Algorithms for Isotonic Regression in all ℓ
CoRR
Rasmus Kyng, Anup Rao, Sushant Sachdeva
2015 A* conf
Stochastic Block Model and Community Detection in Sparse Graphs: A spectral algorithm with optimal rate of recovery.
COLT
Peter Chin, Anup Rao, Van Vu
2015 J jnl
Stochastic Block Model and Community Detection in the Sparse Graphs: A spectral algorithm with optimal rate of recovery.
CoRR
Peter Chin, Anup Rao, Van Vu