Anup B. Rao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
15
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Evaluation and Incident Prevention in an Enterprise AI Assistant. | Akash V. Maharaj, David Arbour, Daniel Lee, Uttaran Bhattacharya, Anup B. Rao, Austin Zane, Avi Feller, Kun Qian, Yunyao Li |
| 2024 | ACL | DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. | Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley |
| 2024 | ECCV | RECON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories. | Chen-Yi Lu, Shubham Agarwal, Md. Mehrab Tanjim, Kanak Mahadik, Anup B. Rao, Subrata Mitra, Shiv Kumar Saini, Saurabh Bagchi, Somali Chaterji |
| 2024 | NAACL | Hallucination Diversity-Aware Active Learning for Text Summarization. | Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li |
| 2023 | SPAA | Brief Announcement: Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud. | Aniket Murhekar, David Arbour, Tung Mai, Anup B. Rao |
| 2022 | AAAI | Conditional Generative Model Based Predicate-Aware Query Approximation. | Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup B. Rao, Vikas Maddukuri |
| 2022 | ICML | Online Balanced Experimental Design. | David Arbour, Drew Dimmery, Tung Mai, Anup B. Rao |
| 2022 | ICML | One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. | Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed |
| 2022 | SIGMOD | Efficient Insights Discovery through Conditional Generative Model based Query Approximation. | Vibhor Porwal, Subrata Mitra, Fan Du, John Anderson, Nikhil Sheoran, Anup B. Rao, Tung Mai, Gautam Kowshik, Sapthotharan Nair, Sameeksha Arora, Saurabh Mahapatra |
| 2021 | AISTATS | Efficient Balanced Treatment Assignments for Experimentation. | David Arbour, Drew Dimmery, Anup B. Rao |
| 2021 | AISTATS | Designing Transportable Experiments Under S-admissability. | My Phan, David Arbour, Drew Dimmery, Anup B. Rao |
| 2021 | CIKM | From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. | Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu |
| 2021 | ICML | Fundamental Tradeoffs in Distributionally Adversarial Training. | Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup B. Rao, Tung Mai |
| 2021 | ICML | Asymptotics of Ridge Regression in Convolutional Models. | Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher |
| 2021 | KDD | Interactive Audience Expansion On Large Scale Online Visitor Data. | Gromit Yeuk-Yin Chan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Fan Du, Cludio T. Silva, Juliana Freire |
| 2020 | WWW | Real-Time Clustering for Large Sparse Online Visitor Data. | Gromit Yeuk-Yin Chan, Fan Du, Ryan A. Rossi, Anup B. Rao, Eunyee Koh, Cludio T. Silva, Juliana Freire |
| 2020 | SIGIR | Dynamic Clustering with Discrete Time Event Prediction. | Karan Aggarwal, Georgios Theocharous, Anup B. Rao |
| 2019 | WADS | Efficient Second-Order Shape-Constrained Function Fitting. | David Durfee, Yu Gao, Anup B. Rao, Sebastian Wild |
| 2018 | FOCS | Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations. | Michael B. Cohen, Jonathan A. Kelner, Rasmus Kyng, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford |
| 2017 | FOCS | Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees. | David Durfee, John Peebles, Richard Peng, Anup B. Rao |
| 2017 | STOC | Almost-linear-time algorithms for Markov chains and new spectral primitives for directed graphs. | Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford, Adrian Vladu |
| 2017 | STOC | Sampling random spanning trees faster than matrix multiplication. | David Durfee, Rasmus Kyng, John Peebles, Anup B. Rao, Sushant Sachdeva |
| 2016 | FOCS | Agnostic Estimation of Mean and Covariance. | Kevin A. Lai, Anup B. Rao, Santosh S. Vempala |
| 2014 | STOC | Solving SDD linear systems in nearly | Michael B. Cohen, Rasmus Kyng, Gary L. Miller, Jakub W. Pachocki, Richard Peng, Anup B. Rao, Shen Chen Xu |