Tianjian Huang

According to our database, Tianjian Huang authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimal Differentially Private Model Training with Public Data.

Andrew Lowy, Zeman Li, Tianjian Huang, Meisam Razaviyayn

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Robustness through Data Augmentation Loss Consistency.

Tianjian Huang, Shaunak Ashish Halbe, Chinnadhurai Sankar, Pooyan Amini, Satwik Kottur, Alborz Geramifard, Meisam Razaviyayn, Ahmad Beirami

Trans. Mach. Learn. Res., 2023

Optimal Differentially Private Learning with Public Data.

Andrew Lowy, Zeman Li, Tianjian Huang, Meisam Razaviyayn

CoRR, 2023

Mobile Application Privacy Risk Assessments from User-authored Scenarios.

Tianjian Huang, Vaishnavi Kaulagi, Mitra Bokaei Hosseini, Travis D. Breaux

Proceedings of the 31st IEEE International Requirements Engineering Conference, 2023

2022

Enhancing the precision of multi-parameter estimation for two-level open quantum system by mixed control.

Haiyuan Hong, Tianjian Huang, Xiujuan Lu, Sen Kuang

Quantum Inf. Process., 2022

A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions.

Daniel Lundström, Tianjian Huang, Meisam Razaviyayn

Proceedings of the International Conference on Machine Learning, 2022

2021

A decentralized adaptive momentum method for solving a class of min-max optimization problems.

Babak Barazandeh, Tianjian Huang, George Michailidis

Signal Process., 2021

DAIR: Data Augmented Invariant Regularization.

Tianjian Huang, Shaunak Ashish Halbe, Chinnadhurai Sankar, Pooyan Amini, Satwik Kottur, Alborz Geramifard, Meisam Razaviyayn, Ahmad Beirami

CoRR, 2021

Alternating Direction Method of Multipliers for Quantization.

Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.

Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong

IEEE Signal Process. Mag., 2020

Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.

Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong

CoRR, 2020

2019

Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods.

Maher Nouiehed, Maziar Sanjabi, Tianjian Huang, Jason D. Lee, Meisam Razaviyayn

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019