Anup B. Rao - RankMe

53 papers A* 17A 3B 4Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Evaluation and Incident Prevention in an Enterprise AI Assistant. AAAI Akash V. Maharaj, David Arbour, Daniel Lee, Uttaran Bhattacharya, Anup B. Rao, Austin Zane, Avi Feller, Kun Qian, Yunyao Li
2025	J	`jnl`	Evaluation and Incident Prevention in an Enterprise AI Assistant. CoRR Akash V. Maharaj, David Arbour, Daniel Lee, Uttaran Bhattacharya, Anup B. Rao, Austin Zane, Avi Feller, Kun Qian, Yunyao Li
2025	J	`jnl`	Learning to Clarify by Reinforcement Learning Through Reward-Weighted Fine-Tuning. CoRR Subhojyoti Mukherjee, Viet Dac Lai, Raghavendra Addanki, Ryan A. Rossi, Seunghyun Yoon, Trung Bui, Anup B. Rao, Jayakumar Subramanian, Branislav Kveton
2025	J	`jnl`	Learning to Reason in LLMs by Expectation Maximization. CoRR Junghyun Lee, Branislav Kveton, Sunav Choudhary, Subhojyoti Mukherjee, Anup B. Rao, Ryan A. Rossi, Alexa Siu
2025	J	`jnl`	ML-Tool-Bench: Tool-Augmented Planning for ML Tasks. CoRR Yaswanth Chittepu, Raghavendra Addanki, Tung Mai, Anup B. Rao, Branislav Kveton
2024	—	`conf`	DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. ACL (1) Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley
2024	—	`conf`	Hallucination Diversity-Aware Active Learning for Text Summarization. NAACL-HLT Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li
2024	J	`jnl`	Hallucination Diversity-Aware Active Learning for Text Summarization. CoRR Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li
2024	—	`conf`	RECON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories. ECCV (59) Chen-Yi Lu, Shubham Agarwal, Md. Mehrab Tanjim, Kanak Mahadik, Anup B. Rao, Subrata Mitra, Shiv Kumar Saini, Saurabh Bagchi, Somali Chaterji
2023	B	`conf`	Brief Announcement: Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud. SPAA Aniket Murhekar, David Arbour, Tung Mai, Anup B. Rao
2023	B	`conf`	Decentralized Personalized Online Federated Learning. IEEE Big Data Renzhi Wu, Saayan Mitra, Xiang Chen, Anup B. Rao
2023	A*	`conf`	Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings. NeurIPS Sudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco
2023	A*	`conf`	Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation. NeurIPS Mehrdad Ghadiri, David Arbour, Tung Mai, Cameron Musco, Anup B. Rao
2023	B	`conf`	Near Neighbor Search for Constraint Queries. IEEE Big Data Gaurav Gupta, Anup B. Rao, Tung Mai, Ryan A. Rossi, Xiang Chen, Saayan Mitra, Anshumali Shrivastava
2023	J	`jnl`	Optimal Sketching Bounds for Sparse Linear Regression. CoRR Tung Mai, Alexander Munteanu, Cameron Musco, Anup B. Rao, Chris Schwiegelshohn, David P. Woodruff
2022	A*	`conf`	Conditional Generative Model Based Predicate-Aware Query Approximation. AAAI Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup B. Rao, Vikas Maddukuri
2022	—	`conf`	Efficient Insights Discovery through Conditional Generative Model based Query Approximation. SIGMOD Conference Vibhor Porwal, Subrata Mitra, Fan Du, John Anderson, Nikhil Sheoran, Anup B. Rao, Tung Mai, Gautam Kowshik, Sapthotharan Nair, Sameeksha Arora, Saurabh Mahapatra
2022	J	`jnl`	Electra: Conditional Generative Model based Predicate-Aware Query Approximation. CoRR Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup B. Rao, Vikas Maddukuri
2022	A*	`conf`	One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. ICML Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed
2022	A*	`conf`	Online Balanced Experimental Design. ICML David Arbour, Drew Dimmery, Tung Mai, Anup B. Rao
2021	J	`jnl`	An Interpretable Graph Generative Model with Heterophily. CoRR Sudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco
2021	A*	`conf`	Asymptotics of Ridge Regression in Convolutional Models. ICML Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher
2021	J	`jnl`	Asymptotics of Ridge Regression in Convolutional Models. CoRR Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher
2021	J	`jnl`	Coresets for Classification - Simplified and Strengthened. CoRR Tung Mai, Anup B. Rao, Cameron Musco
2021	A	`conf`	Designing Transportable Experiments Under S-admissability. AISTATS My Phan, David Arbour, Drew Dimmery, Anup B. Rao
2021	A	`conf`	Efficient Balanced Treatment Assignments for Experimentation. AISTATS David Arbour, Drew Dimmery, Anup B. Rao
2021	A	`conf`	From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. CIKM Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu
2021	A*	`conf`	Fundamental Tradeoffs in Distributionally Adversarial Training. ICML Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup B. Rao, Tung Mai
2021	J	`jnl`	Heterogeneous Graphlets. ACM Trans. Knowl. Discov. Data Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh
2021	A*	`conf`	Interactive Audience Expansion On Large Scale Online Visitor Data. KDD Gromit Yeuk-Yin Chan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Fan Du, Cláudio T. Silva, Juliana Freire
2021	J	`jnl`	Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes. CoRR Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed
2021	J	`jnl`	Optimal Space and Time for Streaming Pattern Matching. CoRR Tung Mai, Anup B. Rao, Ryan A. Rossi, Saeed Seddighin
2020	J	`jnl`	Determinant-Preserving Sparsification of SDDM Matrices. SIAM J. Comput. David Durfee, John Peebles, Richard Peng, Anup B. Rao
2020	A*	`conf`	Dynamic Clustering with Discrete Time Event Prediction. SIGIR Karan Aggarwal, Georgios Theocharous, Anup B. Rao
2020	J	`jnl`	Graph Neural Networks with Heterophily. CoRR Jiong Zhu, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra
2020	J	`jnl`	Heterogeneous Graphlets. CoRR Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh
2020	A*	`conf`	Real-Time Clustering for Large Sparse Online Visitor Data. WWW Gromit Yeuk-Yin Chan, Fan Du, Ryan A. Rossi, Anup B. Rao, Eunyee Koh, Cláudio T. Silva, Juliana Freire
2019	B	`conf`	Efficient Second-Order Shape-Constrained Function Fitting. WADS David Durfee, Yu Gao, Anup B. Rao, Sebastian Wild
2019	J	`jnl`	Efficient Second-Order Shape-Constrained Function Fitting. CoRR David Durfee, Yu Gao, Anup B. Rao, Sebastian Wild
2019	—	`conf`	Hacd: Hierarchical Agglomerative Community Detection In Social Networks. MLSP Ekta Gujral, Evangelos E. Papalexakis, Georgios Theocharous, Anup B. Rao
2018	A*	`conf`	Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations. FOCS Michael B. Cohen, Jonathan A. Kelner, Rasmus Kyng, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford
2018	J	`jnl`	Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations. CoRR Michael B. Cohen, Jonathan A. Kelner, Rasmus Kyng, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford
2017	A*	`conf`	Almost-linear-time algorithms for Markov chains and new spectral primitives for directed graphs. STOC Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford, Adrian Vladu
2017	J	`jnl`	Concave Flow on Small Depth Directed Networks. CoRR Tung Mai, Richard Peng, Anup B. Rao, Vijay V. Vazirani
2017	A*	`conf`	Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees. FOCS David Durfee, John Peebles, Richard Peng, Anup B. Rao
2017	J	`jnl`	Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees. CoRR David Durfee, John Peebles, Richard Peng, Anup B. Rao
2017	A*	`conf`	Sampling random spanning trees faster than matrix multiplication. STOC David Durfee, Rasmus Kyng, John Peebles, Anup B. Rao, Sushant Sachdeva
2016	A*	`conf`	Agnostic Estimation of Mean and Covariance. FOCS Kevin A. Lai, Anup B. Rao, Santosh S. Vempala
2016	J	`jnl`	Agnostic Estimation of Mean and Covariance. CoRR Kevin A. Lai, Anup B. Rao, Santosh S. Vempala
2016	J	`jnl`	Almost-Linear-Time Algorithms for Markov Chains and New Spectral Primitives for Directed Graphs. CoRR Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford, Adrian Vladu
2016	J	`jnl`	Sampling Random Spanning Trees Faster than Matrix Multiplication. CoRR David Durfee, Rasmus Kyng, John Peebles, Anup B. Rao, Sushant Sachdeva
2014	J	`jnl`	Preconditioning in Expectation. CoRR Michael B. Cohen, Rasmus Kyng, Jakub W. Pachocki, Richard Peng, Anup B. Rao
2014	A*	`conf`	Solving SDD linear systems in nearly STOC Michael B. Cohen, Rasmus Kyng, Gary L. Miller, Jakub W. Pachocki, Richard Peng, Anup B. Rao, Shen Chen Xu