Tung Mai

62 papers A* 17A 4B 2Journal 33Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Robust Stable Matchings: Dealing with Changes in Preferences.
CoRR
Rohith Reddy Gangam, Tung Mai, Nitya Raju, Vijay V. Vazirani
2025 J jnl
CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement.
Trans. Mach. Learn. Res.
Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra
2025 J jnl
Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants.
CoRR
Md. Mehrab Tanjim, Xiang Chen, Victor S. Bursztyn, Uttaran Bhattacharya, Tung Mai, Vaishnavi Muppala, Akash Maharaj, Saayan Mitra, Eunyee Koh, Yunyao Li, Ken Russell
2025 J jnl
From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants.
CoRR
Manisha Mukherjee, Sungchul Kim, Xiang Chen, Dan Luo, Tong Yu, Tung Mai
2025 J jnl
ML-Tool-Bench: Tool-Augmented Planning for ML Tasks.
CoRR
Yaswanth Chittepu, Raghavendra Addanki, Tung Mai, Anup B. Rao, Branislav Kveton
2025 A conf
Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotation.
IUI
Yuan Tian, Daniel Lee, Fei Wu, Tung Mai, Kun Qian, Siddhartha Sahai, Tianyi Zhang, Yunyao Li
2025 J jnl
Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotation.
CoRR
Yuan Tian, Daniel Lee, Fei Wu, Tung Mai, Kun Qian, Siddhartha Sahai, Tianyi Zhang, Yunyao Li
2024 J jnl
CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement.
CoRR
Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra
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
2023 J jnl
A Structural and Algorithmic Study of Stable Matching Lattices of Multiple Instances.
CoRR
Rohith Reddy Gangam, Tung Mai, Nitya Raju, Vijay V. Vazirani
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 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
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 A conf
Optimal Sketching Bounds for Sparse Linear Regression.
AISTATS
Tung Mai, Alexander Munteanu, Cameron Musco, Anup Rao, Chris Schwiegelshohn, David P. Woodruff
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 — conf
A Structural and Algorithmic Study of Stable Matching Lattices of "Nearby" Instances, with Applications.
FSTTCS
Rohith Reddy Gangam, Tung Mai, Nitya Raju, Vijay V. Vazirani
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
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 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 A* conf
Coresets for Classification - Simplified and Strengthened.
NeurIPS
Tung Mai, Cameron Musco, Anup Rao
2021 J jnl
Coresets for Classification - Simplified and Strengthened.
CoRR
Tung Mai, Anup B. Rao, Cameron Musco
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
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
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 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
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 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 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 — conf
Stability-Preserving, Time-Efficient Mechanisms for School Choice in Two Rounds.
FSTTCS
Karthik Gajulapalli, James A. Liu, Tung Mai, Vijay V. Vazirani
2019 J jnl
Approximate Maximum Matching in Random Streams.
CoRR
Alireza Farhadi, MohammadTaghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi
2019 A conf
On Densification for Minwise Hashing.
UAI
Tung Mai, Anup Rao, Matt Kapilevich, Ryan A. Rossi, Yasin Abbasi-Yadkori, Ritwik Sinha
2019 J jnl
Stability-Preserving, Incentive-Compatible, Time-Efficient Mechanisms for Increasing School Capacity.
CoRR
Tung Mai, Vijay V. Vazirani
2018 J jnl
A Generalization of Birkhoff's Theorem for Distributive Lattices, with Applications to Robust Stable Matchings.
CoRR
Tung Mai, Vijay V. Vazirani
2018 J jnl
A Natural Generalization of Stable Matching Solved via New Insights into Ideal Cuts.
CoRR
Tung Mai, Vijay V. Vazirani
2018 A* conf
Cycles in Zero-Sum Differential Games and Biological Diversity.
EC
Tung Mai, Milena Mihail, Ioannis Panageas, Will Ratcliff, Vijay V. Vazirani, Peter Yunker
2018 A conf
Finding Stable Matchings That Are Robust to Errors in the Input.
ESA
Tung Mai, Vijay V. Vazirani
2018 J jnl
Finding Stable Matchings that are Robust to Errors in the Input.
CoRR
Tung Mai, Vijay V. Vazirani
2018 A* conf
Nash Social Welfare for Indivisible Items under Separable, Piecewise-Linear Concave Utilities.
SODA
Nima Anari, Tung Mai, Shayan Oveis Gharan, Vijay V. Vazirani
2017 — conf
A Performance-Based Scheme for Pricing Resources in the Cloud.
WINE
Kamal Jain, Tung Mai, Vijay V. Vazirani
2017 J jnl
Concave Flow on Small Depth Directed Networks.
CoRR
Tung Mai, Richard Peng, Anup B. Rao, Vijay V. Vazirani
2017 A* conf
Convex Program Duality, Fisher Markets, and Nash Social Welfare.
EC
Richard Cole, Nikhil R. Devanur, Vasilis Gkatzelis, Kamal Jain, Tung Mai, Vijay V. Vazirani, Sadra Yazdanbod
2017 A* conf
Opinion Dynamics in Networks: Convergence, Stability and Lack of Explosion.
ICALP
Tung Mai, Ioannis Panageas, Vijay V. Vazirani
2017 J jnl
Rock-Paper-Scissors, Differential Games and Biological Diversity.
CoRR
Tung Mai, Ioannis Panageas, Will Ratcliff, Vijay V. Vazirani, Peter Yunker
2016 J jnl
A Performance-Based Scheme for Pricing Resources in the Cloud.
CoRR
Kamal Jain, Tung Mai, Vijay V. Vazirani
2016 J jnl
Convex Program Duality, Fisher Markets, and Nash Social Welfare.
CoRR
Richard Cole, Nikhil R. Devanur, Vasilis Gkatzelis, Kamal Jain, Tung Mai, Vijay V. Vazirani, Sadra Yazdanbod
2016 J jnl
Nash Social Welfare for Indivisible Items under Separable, Piecewise-Linear Concave Utilities.
CoRR
Nima Anari, Tung Mai, Shayan Oveis Gharan, Vijay V. Vazirani
2016 J jnl
New Convex Programs for Fisher's Market Model and its Generalizations.
CoRR
Nikhil R. Devanur, Kamal Jain, Tung Mai, Vijay V. Vazirani, Sadra Yazdanbod
2016 J jnl
Opinion Dynamics in Networks: Convergence, Stability and Lack of Explosion.
CoRR
Tung Mai, Ioannis Panageas, Vijay V. Vazirani