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ORCIDTianjian Huang
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2020 – today
- 2024
[c5]Andrew Lowy, Zeman Li, Tianjian Huang, Meisam Razaviyayn:
Optimal Differentially Private Model Training with Public Data. ICML 2024- 2023
- [j4]Tianjian Huang, Shaunak Ashish Halbe, Chinnadhurai Sankar, Pooyan Amini, Satwik Kottur, Alborz Geramifard, Meisam Razaviyayn, Ahmad Beirami:
Robustness through Data Augmentation Loss Consistency. Trans. Mach. Learn. Res. 2023 (2023) - [c4]Tianjian Huang, Vaishnavi Kaulagi, Mitra Bokaei Hosseini, Travis D. Breaux:
Mobile Application Privacy Risk Assessments from User-authored Scenarios. RE 2023: 17-28 - [i7]Andrew Lowy, Zeman Li, Tianjian Huang, Meisam Razaviyayn:
Optimal Differentially Private Learning with Public Data. CoRR abs/2306.15056 (2023) - 2022
- [j3]Haiyuan Hong, Tianjian Huang, Xiujuan Lu, Sen Kuang
:
Enhancing the precision of multi-parameter estimation for two-level open quantum system by mixed control. Quantum Inf. Process. 21(7): 240 (2022) - [c3]Daniel Lundström, Tianjian Huang, Meisam Razaviyayn:
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions. ICML 2022: 14485-14508 - [i6]Daniel Lundström, Tianjian Huang, Meisam Razaviyayn:
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions. CoRR abs/2202.11912 (2022) - 2021
- [j2]Babak Barazandeh, Tianjian Huang, George Michailidis:
A decentralized adaptive momentum method for solving a class of min-max optimization problems. Signal Process. 189: 108245 (2021) - [c2]Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn:
Alternating Direction Method of Multipliers for Quantization. AISTATS 2021: 208-216 - [i5]Babak Barazandeh, Tianjian Huang, George Michailidis:
A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems. CoRR abs/2106.06075 (2021) - [i4]Tianjian Huang, Shaunak Ashish Halbe, Chinnadhurai Sankar, Pooyan Amini, Satwik Kottur, Alborz Geramifard, Meisam Razaviyayn, Ahmad Beirami:
DAIR: Data Augmented Invariant Regularization. CoRR abs/2110.11205 (2021) - 2020
- [j1]Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong:
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. IEEE Signal Process. Mag. 37(5): 55-66 (2020) - [i3]Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong:
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. CoRR abs/2006.08141 (2020) - [i2]Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn:
Alternating Direction Method of Multipliers for Quantization. CoRR abs/2009.03482 (2020)
2010 – 2019
- 2019
- [c1]Maher Nouiehed, Maziar Sanjabi, Tianjian Huang, Jason D. Lee, Meisam Razaviyayn:
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods. NeurIPS 2019: 14905-14916 - [i1]Maher Nouiehed, Maziar Sanjabi, Tianjian Huang, Jason D. Lee, Meisam Razaviyayn:
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods. CoRR abs/1902.08297 (2019)
Coauthor Index
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