Yahya Sattar

According to our database, Yahya Sattar authored at least 19 papers between 2017 and 2025.

Collaborative distances:

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

2025

Pre-trained Large Language Models Learn Hidden Markov Models In-context.

Yijia Dai, Zhaolin Gao, Yahya Sattar, Sarah Dean, Jennifer J. Sun

CoRR, June, 2025

Sub-optimality of the Separation Principle for Quadratic Control from Bilinear Observations.

Yahya Sattar, Sunmook Choi, Yassir Jedra, Maryam Fazel, Sarah Dean

CoRR, April, 2025

Finite Sample Identification of Partially Observed Bilinear Dynamical Systems.

Yahya Sattar, Yassir Jedra, Maryam Fazel, Sarah Dean

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

A Case Study of Low Ranked Self-Expressive Structures in Neural Network Representations.

Uday Singh Saini, William Shiao, Yahya Sattar, Yogesh Dahiya, Samet Oymak, Evangelos E. Papalexakis

Proceedings of the Conference on Parsimony and Learning, 2025

Learning Linear Dynamics from Bilinear Observations.

Yahya Sattar, Yassir Jedra, Sarah Dean

Proceedings of the 2025 American Control Conference, 2025

2024

Random features approximation for control-affine systems.

Kimia Kazemian, Yahya Sattar, Sarah Dean

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

The Sample Complexity of Learning Dynamical Systems

Yahya Sattar

PhD thesis, 2023

2022

Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems.

Yahya Sattar, Samet Oymak

J. Mach. Learn. Res., 2022

Finite Sample Identification of Bilinear Dynamical Systems.

Yahya Sattar, Samet Oymak, Necmiye Ozay

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Certainty Equivalent Quadratic Control for Markov Jump Systems.

Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Samet Oymak, Laura Balzano, Necmiye Ozay

Proceedings of the American Control Conference, 2022

Data-Driven Control of Markov Jump Systems: Sample Complexity and Regret Bounds.

Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak

Proceedings of the American Control Conference, 2022

2021

Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds.

Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak

CoRR, 2021

Estimation of Groundwater Storage Variations in Indus River Basin Using Grace Data.

Yahya Sattar, Zubair Khalid

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Quickly Finding the Best Linear Model in High Dimensions via Projected Gradient Descent.

Yahya Sattar, Samet Oymak

IEEE Trans. Signal Process., 2020

Exploring Weight Importance and Hessian Bias in Model Pruning.

Mingchen Li, Yahya Sattar, Christos Thrampoulidis, Samet Oymak

CoRR, 2020

2019

Quickly Finding the Best Linear Model in High Dimensions.

Yahya Sattar, Samet Oymak

CoRR, 2019

Accurate Reconstruction of Finite Rate of Innovation Signals on the Sphere.

Yahya Sattar, Zubair Khalid, Rodney A. Kennedy

Proceedings of the IEEE International Conference on Acoustics, 2019

A Simple Framework for Learning Stabilizable Systems.

Yahya Sattar, Samet Oymak

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2017

Robust reconstruction of spherical signals with finite rate of innovation.

Yahya Sattar, Zubair Khalid, Rodney A. Kennedy

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017