Hello there! I am a fourth-year PhD student in Machine Learning in H. Milton Stewart School of Industrial & Systems Engineering at Georgia Tech, Atlanta. I am being advised by Prof. Siva Theja Maguluri.
My interests are in the theoretical analysis of Stochastic Approximation Algorithms with major focus on its application in Reinforcement Learning and Machine Learning. Recently, I was fortunate to intern as a student researcher in Google DeepMind, India with the MLO team under the guidance of Dr. Dheeraj Nagaraj. My work involved developing a general sample-efficient procedure to improve the performance of flow models for image generation. I received my B.Tech in Electrical Engineering with Honors and Minor in Computer Science and Engineering at Indian Institute of Technology, Bombay.
Research Papers
- G G Anil, SU Haque , N Kannen, D Nagaraj, K Shanmugan, S Shakottai, “Fine-Tuning Diffusion Models via Intermediate Distribution Shaping’’, arxiv version, Submitted
- S Chandak, SU Haque , N Bambos, “Finite-time Bounds for Two-Time-Scale Stochastic Approximation with Arbitrary Norm Contractions and Markovian Noise’’, arxiv version, Accepted in 64th IEEE Conference on Decision and Control.
- SU Haque , ST Maguluri, “Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem”, AISTATS 2025.
- S Zhang, Z Zhang, Z Chen, SU Haque , ST Maguluri, “A non-asymptotic theory of seminorm Lyapunov stability: From deterministic to stochastic iterative algorithms’’, arxiv version, Submitted
- SU Haque , S Khodadadian, ST Maguluri, “Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise”, arxiv version, (Submitted).
- SU Haque , A Rajwade, KS Gurumoorthy, “Joint Probability Estimation Using Tensor Decomposition and Dictionaries”, EUSIPCO 2022.
- S Sharma, A Girish, N P Rakhashia, V M Gadre, SU Haque , A Ansari, R B Pachori, P Radhakrishna, P Sahay, “Theoretical Analysis of an Inverse Radon Transform Based Multicomponent Micro-Doppler Parameter Estimation Algorithm”, 2022 National Conference on Communications (NCC).
- SU Haque , S Chandak, F Chiariotti, D Gündüz, P Popovski, “Learning to Speak on Behalf of a Group: Medium Access Control for Sending a Shared Message”, IEEE Communications Letters, 2022.
Courses completed so far
- Machine Learning: Optimization in Reinforcement Learning, Machine Learning: Theory and Methods, Mathematical Foundations of Machine Learning, First order methods in optimization for Machine Learning
- Mathematics and Statistics: Modern Tools in Probability, Probability 1, Real Analysis 1, Theoretical Statistics, High-Dimensional Statistics, Linear Optimization, Stochastic Processes 1
- Miscellaneous: Design and Analysis of Algorithms, Linear Controls