About Egor Shulgin Egor Shulgin Ph.D. Student, Computer Science machine learning optimization Federated learning privacy-preserving AI secure AI Egor Shulgin research investigates heterogeneous, efficient, and personalized federated learning, and practical optimizers for modern deep learning. Events Presented Events Jul 19 - Jul 25, 2026 Understanding Practical Optimization in Machine Learning Egor Shulgin, Ph.D. Student, Computer Science Jul 22, 17:00 - 19:00 B5 R5209 Optimization for Machine Learning AI artificial intelligence machine learning Optimization design and machine learning This dissertation studies how practical optimization methods used to train modern machine learning systems can be better understood by analyzing the objectives, updates, assumptions, and approximations that arise in their actual implementation.
Understanding Practical Optimization in Machine Learning Egor Shulgin, Ph.D. Student, Computer Science Jul 22, 17:00 - 19:00 B5 R5209 Optimization for Machine Learning AI artificial intelligence machine learning Optimization design and machine learning This dissertation studies how practical optimization methods used to train modern machine learning systems can be better understood by analyzing the objectives, updates, assumptions, and approximations that arise in their actual implementation.
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Understanding Practical Optimization in Machine Learning Egor Shulgin, Ph.D. Student, Computer Science Jul 22, 17:00 - 19:00 B5 R5209 Optimization for Machine Learning AI artificial intelligence machine learning Optimization design and machine learning
