Tung Mai

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 55

Top Topics

Generative Model

Distributive Lattices

Algorithmic Stability

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)
Aniket Murhekar, David Arbour, Tung Mai, Anup Rao
Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud. CoRR (2023)
Tung Mai, Alexander Munteanu, Cameron Musco, Anup B. Rao, Chris Schwiegelshohn, David P. Woodruff
Optimal Sketching Bounds for Sparse Linear Regression. CoRR (2023)
Tung Mai, Alexander Munteanu, Cameron Musco, Anup Rao, Chris Schwiegelshohn, David P. Woodruff
Optimal Sketching Bounds for Sparse Linear Regression. AISTATS (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)
Rohith Reddy Gangam, Tung Mai, Nitya Raju, Vijay V. Vazirani
A Structural and Algorithmic Study of Stable Matching Lattices of Multiple Instances. CoRR (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)
Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao
Sample Constrained Treatment Effect Estimation. CoRR (2022)
Rohith Reddy Gangam, Tung Mai, Nitya Raju, Vijay V. Vazirani
A Structural and Algorithmic Study of Stable Matching Lattices of "Nearby" Instances, with Applications. FSTTCS (2022)
Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao
Sample Constrained Treatment Effect Estimation. NeurIPS (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 Rao, Tung Mai
Fundamental Tradeoffs in Distributionally Adversarial Training. CoRR (2021)
Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora
Machine Unlearning via Algorithmic Stability. CoRR (2021)
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)
Tung Mai, Cameron Musco, Anup Rao
Coresets for Classification - Simplified and Strengthened. NeurIPS (2021)
Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora
Machine Unlearning via Algorithmic Stability. COLT (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)
Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra
Graph Neural Networks with Heterophily. AAAI (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)
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)
Ryan A. Rossi, Anup Rao, Tung Mai, Nesreen K. Ahmed
Fast and Accurate Estimation of Typed Graphlets. WWW (Companion Volume) (2020)
Alireza Farhadi, Mohammad Taghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi
Approximate Maximum Matching in Random Streams. SODA (2020)
Karthik Gajulapalli, James A. Liu, Tung Mai, Vijay V. Vazirani
Stability-Preserving, Time-Efficient Mechanisms for School Choice in Two Rounds. FSTTCS (2020)
Alireza Farhadi, MohammadTaghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi
Approximate Maximum Matching in Random Streams. CoRR (2019)
Tung Mai, Vijay V. Vazirani
Stability-Preserving, Incentive-Compatible, Time-Efficient Mechanisms for Increasing School Capacity. CoRR (2019)
Tung Mai, Anup Rao, Matt Kapilevich, Ryan A. Rossi, Yasin Abbasi-Yadkori, Ritwik Sinha
On Densification for Minwise Hashing. UAI (2019)
Tung Mai, Vijay V. Vazirani
Finding Stable Matchings That Are Robust to Errors in the Input. ESA (2018)
Tung Mai, Vijay V. Vazirani
A Natural Generalization of Stable Matching Solved via New Insights into Ideal Cuts. CoRR (2018)
Tung Mai, Vijay V. Vazirani
Finding Stable Matchings that are Robust to Errors in the Input. CoRR (2018)
Nima Anari, Tung Mai, Shayan Oveis Gharan, Vijay V. Vazirani
Nash Social Welfare for Indivisible Items under Separable, Piecewise-Linear Concave Utilities. SODA (2018)
Tung Mai, Milena Mihail, Ioannis Panageas, Will Ratcliff, Vijay V. Vazirani, Peter Yunker
Cycles in Zero-Sum Differential Games and Biological Diversity. EC (2018)
Tung Mai, Vijay V. Vazirani
A Generalization of Birkhoff's Theorem for Distributive Lattices, with Applications to Robust Stable Matchings. CoRR (2018)
Kamal Jain, Tung Mai, Vijay V. Vazirani
A Performance-Based Scheme for Pricing Resources in the Cloud. WINE (2017)
Tung Mai, Ioannis Panageas, Vijay V. Vazirani
Opinion Dynamics in Networks: Convergence, Stability and Lack of Explosion. ICALP (2017)
Tung Mai, Richard Peng, Anup B. Rao, Vijay V. Vazirani
Concave Flow on Small Depth Directed Networks. CoRR (2017)
Richard Cole, Nikhil R. Devanur, Vasilis Gkatzelis, Kamal Jain, Tung Mai, Vijay V. Vazirani, Sadra Yazdanbod
Convex Program Duality, Fisher Markets, and Nash Social Welfare. EC (2017)
Tung Mai, Ioannis Panageas, Will Ratcliff, Vijay V. Vazirani, Peter Yunker
Rock-Paper-Scissors, Differential Games and Biological Diversity. CoRR (2017)
Tung Mai, Ioannis Panageas, Vijay V. Vazirani
Opinion Dynamics in Networks: Convergence, Stability and Lack of Explosion. CoRR (2016)
Richard Cole, Nikhil R. Devanur, Vasilis Gkatzelis, Kamal Jain, Tung Mai, Vijay V. Vazirani, Sadra Yazdanbod
Convex Program Duality, Fisher Markets, and Nash Social Welfare. CoRR (2016)
Nikhil R. Devanur, Kamal Jain, Tung Mai, Vijay V. Vazirani, Sadra Yazdanbod
New Convex Programs for Fisher's Market Model and its Generalizations. CoRR (2016)
Kamal Jain, Tung Mai, Vijay V. Vazirani
A Performance-Based Scheme for Pricing Resources in the Cloud. CoRR (2016)
Nima Anari, Tung Mai, Shayan Oveis Gharan, Vijay V. Vazirani
Nash Social Welfare for Indivisible Items under Separable, Piecewise-Linear Concave Utilities. CoRR (2016)