TILOS Seminar Series

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  • TILOS-SDSU Seminar: 95 Percent: Bridging the Gap Between Prototype and Product

    Lamden Hall 341 (SDSU) and Virtual San Diego, CA, United States

    Jeremy Schwartz, Zoox Abstract: When transitioning from the academic world to the professional world of engineering, one of the most common pitfalls is failing to understand the difference between a compelling prototype and a successful product. This talk will focus on that distinction. We will discuss the differences between them, and the work required to […]

  • Optimization for AI and ML Seminar: Training Neural Networks at Any Scale

    HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United States

    Volkan Cevher, École Polytechnique Fédérale de Lausanne Abstract: At the heart of deep learning’s transformative impact lies the concept of scale--encompassing both data and computational resources, as well as their interaction with neural network architectures. Scale, however, presents critical challenges, such as increased instability during training and prohibitively expensive model-specific tuning. Given the substantial resources […]

  • Optimization for ML and AI Seminar: Stochastic-Gradient and Diagonal-Scaling Algorithms for Constrained Optimization and Learning

    HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United States

    Frank E. Curtis, Lehigh University Abstract: I will motivate and provide an overview of recent efforts in my research group on the design and analysis of stochastic-gradient-based algorithms for solving constrained optimization problems. I will focus in particular on our motivation for informed supervised learning, where constraints in the training problem can be used to […]

  • TILOS-HDSI Seminar: Incentivizing Emergent Behaviors for LLMs via Reinforcement Learning

    Qualcomm Conference Center Room B (Jacobs Hall first floor) and Virtual 9736 Engineers Ln, La Jolla, CA, United States

    Yi Wu, Tsinghua University Abstract: Reinforcement Learning (RL) has become a powerful post-training method for eliciting advanced behaviors in large language models (LLMs). This talk presents recent results showing how RL can incentivize the emergence of LLM capabilities across three domains: (1) multi-player deduction game, Werewolf, where RL-trained LLM agents develop strategic behaviors and outperform […]

  • Optimization for ML and AI Seminar with Joel Tropp (Caltech)

    HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United States

    Title and abstract TBA... Joel A. Tropp is Steele Family Professor of Applied & Computational Mathematics at the California Institute of Technology. His research centers on applied mathematics, machine learning, data science, numerical algorithms, and random matrix theory. Some of his best-known contributions include matching pursuit algorithms, randomized SVD algorithms, matrix concentration inequalities, and statistical phase transitions. Prof. Tropp attained the […]

  • TILOS-HDSI Seminar with Koushil Sreenath (UC Berkeley)

    HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United States

    Title and abstract TBA... Koushil Sreenath is an Assistant Professor of Mechanical Engineering, at UC Berkeley. He received a Ph.D. degree in Electrical Engineering and Computer Science and a M.S. degree in Applied Mathematics from the University of Michigan at Ann Arbor, MI, in 2011. He was a Postdoctoral Scholar at the GRASP Lab at University […]

  • Optimization for ML and AI Seminar with Tengyu Ma (Stanford)

    HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United States

    Title and abstract TBA... Tengyu Ma is an assistant professor of computer science at Stanford University. His research interests broadly include topics in machine learning, algorithms and their theory, such as deep learning, (deep) reinforcement learning, pre-training / foundation models, robustness, non-convex optimization, distributed optimization, and high-dimensional statistics. Zoom: https://bit.ly/Opt-AI-ML

  • Optimization for ML and AI Seminar with Yang Zheng (UC San Diego)

    HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United States

    Title and abstract TBA... Yang Zheng is an Assistant Professor in Electrical and Computer Engineering at UC San Diego, and is affiliated with the department of Computer Science and Engineering and the Contextual Robotics Institute. From March 2019 to August 2020, Dr. Zheng was a postdoctoral scholar in SEAS and CGBC at Harvard University, working […]

  • TILOS-HDSI Seminar with Maarten de Hoop (Rice University)

    HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United States

    Title and abstract TBA... Professor Maarten V. de Hoop, Simons Chair in Computational and Applied Mathematics and Earth Science at Rice University, is internationally recognized for his contributions to the mathematical foundations of seismology, wave propagation, and inverse problems. His research bridges microlocal and harmonic analysis, scattering theory, and structured numerical methods with applications to […]

  • TILOS-HDSI Seminar with Jason Eshraghian (UC Santa Cruz)

    HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United States

    Title and abstract TBA... Jason Eshraghian is an Assistant Professor at the Department of Electrical and Computer Engineering, University of California, Santa Cruz. He received the Bachelor of Engineering and the Bachelor of Laws degrees from The University of Western Australia, where he also obtained his Ph.D. degree. He currently serves as the secretary-elect of […]