Anup B. Rao

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 46

Top Topics

Point Processes

Directed Networks

Top Venues

Publications

Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li
Hallucination Diversity-Aware Active Learning for Text Summarization. CoRR (2024)
Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li
Hallucination Diversity-Aware Active Learning for Text Summarization. NAACL-HLT (2024)
Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. ACL (1) (2024)
Tung Mai, Alexander Munteanu, Cameron Musco, Anup B. Rao, Chris Schwiegelshohn, David P. Woodruff
Optimal Sketching Bounds for Sparse Linear Regression. CoRR (2023)
Aniket Murhekar, David Arbour, Tung Mai, Anup B. Rao
Brief Announcement: Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud. SPAA (2023)
Renzhi Wu, Saayan Mitra, Xiang Chen, Anup B. Rao
Decentralized Personalized Online Federated Learning. BigData (2023)
Mehrdad Ghadiri, David Arbour, Tung Mai, Cameron Musco, Anup B. Rao
Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation. NeurIPS (2023)
Sudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings. NeurIPS (2023)
Gaurav Gupta, Anup B. Rao, Tung Mai, Ryan A. Rossi, Xiang Chen, Saayan Mitra, Anshumali Shrivastava
Near Neighbor Search for Constraint Queries. BigData (2023)
Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. ICML (2022)
Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup B. Rao, Vikas Maddukuri
Conditional Generative Model Based Predicate-Aware Query Approximation. AAAI (2022)
Vibhor Porwal, Subrata Mitra, Fan Du, John Anderson, Nikhil Sheoran, Anup B. Rao, Tung Mai, Gautam Kowshik, Sapthotharan Nair, Sameeksha Arora, Saurabh Mahapatra
Efficient Insights Discovery through Conditional Generative Model based Query Approximation. SIGMOD Conference (2022)
Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup B. Rao, Vikas Maddukuri
Electra: Conditional Generative Model based Predicate-Aware Query Approximation. CoRR (2022)
David Arbour, Drew Dimmery, Tung Mai, Anup B. Rao
Online Balanced Experimental Design. ICML (2022)
Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup B. Rao, Tung Mai
Fundamental Tradeoffs in Distributionally Adversarial Training. ICML (2021)
Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher
Asymptotics of Ridge Regression in Convolutional Models. ICML (2021)
Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher
Asymptotics of Ridge Regression in Convolutional Models. CoRR (2021)
Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh
Heterogeneous Graphlets. ACM Trans. Knowl. Discov. Data 15 (1) (2021)
Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu
From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. CIKM (2021)
David Arbour, Drew Dimmery, Anup B. Rao
Efficient Balanced Treatment Assignments for Experimentation. AISTATS (2021)
Tung Mai, Anup B. Rao, Ryan A. Rossi, Saeed Seddighin
Optimal Space and Time for Streaming Pattern Matching. CoRR (2021)
Gromit Yeuk-Yin Chan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Fan Du, Cláudio T. Silva, Juliana Freire
Interactive Audience Expansion On Large Scale Online Visitor Data. KDD (2021)
Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed
Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes. CoRR (2021)
Tung Mai, Anup B. Rao, Cameron Musco
Coresets for Classification - Simplified and Strengthened. CoRR (2021)
Sudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco
An Interpretable Graph Generative Model with Heterophily. CoRR (2021)
My Phan, David Arbour, Drew Dimmery, Anup B. Rao
Designing Transportable Experiments Under S-admissability. AISTATS (2021)
David Arbour, Drew Dimmery, Tung Mai, Anup B. Rao
Online Discrepancy Minimization via Persistent Self-Balancing Walks. CoRR (2021)
Jiong Zhu, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra
Graph Neural Networks with Heterophily. CoRR (2020)
David Durfee, John Peebles, Richard Peng, Anup B. Rao
Determinant-Preserving Sparsification of SDDM Matrices. SIAM J. Comput. 49 (4) (2020)
Karan Aggarwal, Georgios Theocharous, Anup B. Rao
Dynamic Clustering with Discrete Time Event Prediction. SIGIR (2020)
Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh
Heterogeneous Graphlets. CoRR (2020)
Gromit Yeuk-Yin Chan, Fan Du, Ryan A. Rossi, Anup B. Rao, Eunyee Koh, Cláudio T. Silva, Juliana Freire
Real-Time Clustering for Large Sparse Online Visitor Data. WWW (2020)
David Durfee, Yu Gao, Anup B. Rao, Sebastian Wild
Efficient Second-Order Shape-Constrained Function Fitting. CoRR (2019)
David Durfee, Yu Gao, Anup B. Rao, Sebastian Wild
Efficient Second-Order Shape-Constrained Function Fitting. WADS (2019)
Ekta Gujral, Evangelos E. Papalexakis, Georgios Theocharous, Anup B. Rao
Hacd: Hierarchical Agglomerative Community Detection In Social Networks. MLSP (2019)
Michael B. Cohen, Jonathan A. Kelner, Rasmus Kyng, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford
Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations. FOCS (2018)
Michael B. Cohen, Jonathan A. Kelner, Rasmus Kyng, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford
Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations. CoRR (2018)
David Durfee, Rasmus Kyng, John Peebles, Anup B. Rao, Sushant Sachdeva
Sampling random spanning trees faster than matrix multiplication. STOC (2017)
Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford, Adrian Vladu
Almost-linear-time algorithms for Markov chains and new spectral primitives for directed graphs. STOC (2017)
Tung Mai, Richard Peng, Anup B. Rao, Vijay V. Vazirani
Concave Flow on Small Depth Directed Networks. CoRR (2017)
David Durfee, John Peebles, Richard Peng, Anup B. Rao
Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees. FOCS (2017)
David Durfee, John Peebles, Richard Peng, Anup B. Rao
Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees. CoRR (2017)
David Durfee, Rasmus Kyng, John Peebles, Anup B. Rao, Sushant Sachdeva
Sampling Random Spanning Trees Faster than Matrix Multiplication. CoRR (2016)
Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford, Adrian Vladu
Almost-Linear-Time Algorithms for Markov Chains and New Spectral Primitives for Directed Graphs. CoRR (2016)
Kevin A. Lai, Anup B. Rao, Santosh S. Vempala
Agnostic Estimation of Mean and Covariance. CoRR (2016)
Kevin A. Lai, Anup B. Rao, Santosh S. Vempala
Agnostic Estimation of Mean and Covariance. FOCS (2016)
Michael B. Cohen, Rasmus Kyng, Jakub W. Pachocki, Richard Peng, Anup B. Rao
Preconditioning in Expectation. CoRR (2014)
Michael B. Cohen, Rasmus Kyng, Gary L. Miller, Jakub W. Pachocki, Richard Peng, Anup B. Rao, Shen Chen Xu
time. STOC (2014)