Tung Mai

Orcid: 0009-0006-1081-5627

According to our database1, Tung Mai authored at least 39 papers between 2016 and 2023.

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Bibliography

2023
Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud.
CoRR, 2023

A Structural and Algorithmic Study of Stable Matching Lattices of Multiple Instances.
CoRR, 2023

Brief Announcement: Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud.
Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, 2023

Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Near Neighbor Search for Constraint Queries.
Proceedings of the IEEE International Conference on Big Data, 2023

Optimal Sketching Bounds for Sparse Linear Regression.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Electra: Conditional Generative Model based Predicate-Aware Query Approximation.
CoRR, 2022

Efficient Insights Discovery through Conditional Generative Model based Query Approximation.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Sample Constrained Treatment Effect Estimation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes.
Proceedings of the International Conference on Machine Learning, 2022

Online Balanced Experimental Design.
Proceedings of the International Conference on Machine Learning, 2022

A Structural and Algorithmic Study of Stable Matching Lattices of "Nearby" Instances, with Applications.
Proceedings of the 42nd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2022

Conditional Generative Model Based Predicate-Aware Query Approximation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes.
CoRR, 2021

An Interpretable Graph Generative Model with Heterophily.
CoRR, 2021

Optimal Space and Time for Streaming Pattern Matching.
CoRR, 2021

Coresets for Classification - Simplified and Strengthened.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Interactive Audience Expansion On Large Scale Online Visitor Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Asymptotics of Ridge Regression in Convolutional Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

Fundamental Tradeoffs in Distributionally Adversarial Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

Machine Unlearning via Algorithmic Stability.
Proceedings of the Conference on Learning Theory, 2021

Graph Neural Networks with Heterophily.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Fast and Accurate Estimation of Typed Graphlets.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Approximate Maximum Matching in Random Streams.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Stability-Preserving, Time-Efficient Mechanisms for School Choice in Two Rounds.
Proceedings of the 40th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2020

2019
Stability-Preserving, Incentive-Compatible, Time-Efficient Mechanisms for Increasing School Capacity.
CoRR, 2019

On Densification for Minwise Hashing.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018
A Generalization of Birkhoff's Theorem for Distributive Lattices, with Applications to Robust Stable Matchings.
CoRR, 2018

A Natural Generalization of Stable Matching Solved via New Insights into Ideal Cuts.
CoRR, 2018

Nash Social Welfare for Indivisible Items under Separable, Piecewise-Linear Concave Utilities.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

Cycles in Zero-Sum Differential Games and Biological Diversity.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Finding Stable Matchings That Are Robust to Errors in the Input.
Proceedings of the 26th Annual European Symposium on Algorithms, 2018

2017
Rock-Paper-Scissors, Differential Games and Biological Diversity.
CoRR, 2017

Concave Flow on Small Depth Directed Networks.
CoRR, 2017

A Performance-Based Scheme for Pricing Resources in the Cloud.
Proceedings of the Web and Internet Economics - 13th International Conference, 2017

Convex Program Duality, Fisher Markets, and Nash Social Welfare.
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017

Opinion Dynamics in Networks: Convergence, Stability and Lack of Explosion.
Proceedings of the 44th International Colloquium on Automata, Languages, and Programming, 2017

2016
New Convex Programs for Fisher's Market Model and its Generalizations.
CoRR, 2016


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