Friday, February 10, 2023 3:50 – 4:50 p.m. (CST) ETB 1020 Dr. Jiang Hu Professor Dept. of Electrical and Computer Engineering Affiliate of Computer Science Electrical and Computer Engineering Texas A&M University Title: “Machine Learning for EDA and EDA for Machine Learning” Talking Points A stochastic approach to handling noisy labels in machine learning models […]
CESG Seminar: Sabit Ekin
Friday, February 3, 2023 3:50 – 4:50 p.m. (CST) ETB 1020 (Zoom option; Links and PW in syllabus or email) Dr. Sabit Ekin Associate Professor Affiliate of Electrical and Computer Engineering Department of Engineering Technology & Industrial Distribution Texas A&M University Title: “An Overview of Wireless Communication, Sensing and IoT Research Projects at Texas Wireless […]
Dr. Jiang Hu: New Publication
CESG’s Jiang Hu has a new publication: Machine Learning Applications in Electronic Design Automation by himself and Dr. Haoxing Ren. This book covers a wide range of the latest research on ML applications in electronic design automation (EDA), including analysis and optimization of digital design, analysis and optimization of analog design, as well as functional verification, […]
CESG Seminar: Sanjay Shakkottai
Friday, November 18, 2022 10:20 – 11:10 a.m. (CST) Zoom (Links and PW in syllabus or email) Dr. Sanjay Shakkottai Professor, Department of Electrical and Computer Engineering University of Texas at Austin Title: “The Power of Adaptivity in Representation Learning: from Meta-Learning to Federated Learning” Talking Points Algorithms for multi-task learning that learn representation Understanding […]
CESG Seminar: Mohammad Ghavamzadeh
Friday, November 11, 2022 10:20 – 11:10 a.m. (CST) Virtual via Zoom: https://tamu.zoom.us/j/93347193479 (password in emails or syllabus) Dr. Mohammad Ghavamzadeh Senior Staff Research Scientist Google Title: “Mitigating the Risk Associated with Epistemic and Aleatory Uncertainties in MDPs” Abstract Prior work on safe reinforcement learning (RL) has studied risk-aversion to randomness in dynamics (aleatory) and […]
CESG Seminar: Alan Kuhnle
Friday, November 4, 2022 10:20 – 11:10 a.m. (CST) ETB 1020 – **In-person** (Zoom option; Links and PW in syllabus or email) Dr. Alan Kuhnle Assistant Professor, Computer Science and Engineering Texas A&M University Title: “Scalable and Learned Algorithms for Discrete Optimization” Talking Points Linear-time algorithms for subset selection problems RL for learning local search […]
CESG Seminar: Dileep Kalathil
Friday, October 28, 2022 10:20 – 11:10 a.m. (CST) Virtual via Zoom: https://tamu.zoom.us/j/93347193479 (password in emails or syllabus) Dr. Dileep Kalathil Assistant Professor in the Dept. of Electrical and Computer Engineering Texas A&M University Title: “Reinforcement Learning with Robustness and Safety Guarantees” Talking Points *How do we develop reinforcement learning algorithms that can overcome the simulation-to-reality gap? […]
CESG Seminar: Jiantao Jiao
Friday, ???? 2023 10:20 – 11:10 a.m. (CST) Virtual via Zoom: https://tamu.zoom.us/j/93347193479 (password in emails or syllabus) Dr. Jiantao Jiao Assistant Professor in the Dept. of EECS and the Dept. of Statistics University of California, Berkeley Title: “Optimal Offline RL with General Function Approximation via Augmented Lagrangian” Talking Points *Statistically optimal offline RL algorithm with […]
CESG Seminar: Dr. George Ligler
Friday, October 7, 2022 10:20 – 11:10 a.m. (CST) ETB 1020 – **In-person** (Zoom option; Links and PW in syllabus or email) Dr. George T. Ligler Professor, Multidisciplinary Engineering Texas A&M University Title: “Automatic Dependent Surveillance—Broadcast (ADS-B): A Major Aviation System’s Conception, Development, and Operational Implementation” Talking Points In order to be successful, computer systems […]
CESG Seminar: Bhuvana Krishnaswamy
Friday, October 21, 2022 10:20 – 11:10 a.m. (CST) Virtual via Zoom: https://tamu.zoom.us/j/93347193479 (password in emails or syllabus) Dr. Bhuvana Krishnaswamy Assistant Professor in Electrical and Computer Engineering University of Wisconsin-Madison Title: “Scalability in Low Power Wide Area Networks” Talking Points: * Long range and low power requirements have contrasting demands on the network. * […]