Training Neural Networks at Any Scale Volkan Cevher, Associate Professor, School of Engineering, Swiss Federal Institute of Technology (EPFL), Switzerland Nov 24, 12:00 - 13:00 B9 L2 R2325 machine learning Numerical simulation and analysis Reinforcement Learning deep learning optimization
BiCoLoR: Communication-Efficient Optimization with Bidirectional Compression and Local Training Laurent Condat, Senior Research Scientist, Computer Science Oct 27, 12:00 - 13:00 B9 L2 R2325 optimization Distributed algorithms Signal and Image Processing
From the Ball-Proximal (Broximal) Point Method to Efficient Training of LLMs Peter Richtarik, Professor, Computer Science Sep 15, 12:00 - 13:00 B9 L2 R2325 AI machine learning optimization algorithms LLM
From the Ball-Proximal (Broximal) Point Method to Efficient Training of LLMs Peter Richtarik, Professor, Computer Science Sep 4, 12:00 - 13:00 B9 L2 R2325 AI machine learning optimization algorithms LLM
Error Feedback for Communication-Efficient First and Second-Order Distributed Optimization: Theory and Practical Implementation Konstantin Burlachenko, Ph.D. Student, Computer Science May 12, 12:00 - 13:00 B9 L2 R2325 Federated learning software development
Proximal Splitting Methods for Convex Optimization: An Introduction Laurent Condat, Senior Research Scientist, Computer Science Dec 2, 12:00 - 13:00 B9 L2 H1 R2322
Langevin Monte Carlo as an optimization algorithm Adil Salim, Postdoctoral Research Fellow, Computer Science Nov 11, 12:00 - 13:00 B9 L2 H1 R2322 machine learning Langevin Monte Carlo optimization
