Ioannis C. Tsaknakis

According to our database, Ioannis C. Tsaknakis authored at least 16 papers between 2018 and 2026.

Collaborative distances:

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

2026

RT2I-Bench: Evaluating Robustness of Text-to-Image Systems Against Adversarial Attacks.

Athanasios Glentis, Ioannis C. Tsaknakis, Jiangweizhi Peng, Xun Xian, Yihua Zhang, Gaowen Liu, Charles Fleming, Mingyi Hong

Trans. Mach. Learn. Res., 2026

2025

Do LLMs Recognize Your Latent Preferences? A Benchmark for Latent Information Discovery in Personalized Interaction.

Ioannis C. Tsaknakis, Bingqing Song, Shuyu Gan, Dongyeop Kang, Alfredo García, Gaowen Liu, Charles Fleming, Mingyi Hong

CoRR, October, 2025

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking.

Athanasios Glentis, Jiaxiang Li, Qiulin Shang, Andi Han, Ioannis C. Tsaknakis, Quan Wei, Mingyi Hong

CoRR, May, 2025

2024

An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning.

Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu

IEEE Signal Process. Mag., January, 2024

2023

Minimax Problems with Coupled Linear Constraints: Computational Complexity and Duality.

Ioannis C. Tsaknakis, Mingyi Hong, Shuzhong Zhang

SIAM J. Optim., December, 2023

An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning.

Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu

CoRR, 2023

Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach.

Prashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong

Proceedings of the International Conference on Machine Learning, 2023

An Implicit Gradient Method for Constrained Bilevel Problems Using Barrier Approximation.

Ioannis C. Tsaknakis, Prashant Khanduri, Mingyi Hong

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning.

Ioannis C. Tsaknakis, Bhavya Kailkhura, Sijia Liu, Donald Loveland, James Diffenderfer, Anna Maria Hiszpanski, Mingyi Hong

CoRR, 2022

Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity.

Bingqing Song, Ioannis C. Tsaknakis, Chung-Yiu Yau, Hoi-To Wai, Mingyi Hong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Implicit Gradient-Type Method for Linearly Constrained Bilevel Problems.

Ioannis C. Tsaknakis, Prashant Khanduri, Mingyi Hong

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function.

Ioannis C. Tsaknakis, Mingyi Hong

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

2020

Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications.

Songtao Lu, Ioannis C. Tsaknakis, Mingyi Hong, Yongxin Chen

IEEE Trans. Signal Process., 2020

Decentralized Min-Max Optimization: Formulations, Algorithms and Applications in Network Poisoning Attack.

Ioannis C. Tsaknakis, Mingyi Hong, Sijia Liu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Block Alternating Optimization for Non-convex Min-max Problems: Algorithms and Applications in Signal Processing and Communications.

Songtao Lu, Ioannis C. Tsaknakis, Mingyi Hong

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

A Computationally Efficient Tensor Completion Algorithm.

Ioannis C. Tsaknakis, Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

IEEE Signal Process. Lett., 2018