Rong Ge (Duke) -- Optimization Landscape Symmetry, Saddle Points and Beyond
MIFODS - Workshop on Non-convex optimization and deep learning
Cambridge, US
January 27-20, 2019
Видео Rong Ge (Duke) -- Optimization Landscape Symmetry, Saddle Points and Beyond канала FODSI
Cambridge, US
January 27-20, 2019
Видео Rong Ge (Duke) -- Optimization Landscape Symmetry, Saddle Points and Beyond канала FODSI
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
2023 CCSP Workshop - Tutorial - Will Perkins (Georgia Tech)
Morteza Zadimoghaddam - Google Research - Data compression and submodular optimization...
ML4A 2021 - Reinhard Heckel - Measuring Robustness in Deep Learning Based Compressive Sensing
Guy Bresler - MIT - Average-Case Reduction Techniques I
Yaron Singer (Harvard) -- From predictions to decisions
M4LA 2021 - Anna Goldie - Model Parallelism and Chip Floorplanning with Deep Reinforcement Learning
2023 CCSP Workshop - Sitan Chen (Harvard Univ.)
Zico Kolter (CMU) -- Making Deep Learning more Robust, Modular, and Efficient
2023 CCSP Workshop - Tutorial - Kuikui Liu (MIT)
Thibaut Le Gouic: Sampler for the Wasserstein barycenter
Nima Anari (Stanford) - Limited correlations, fractional log-concavity, and fast mixing random walks
Devavrat Shah - MIT - FODSI Webinar - Nov 5th, 2021
Afonso Bandeira (NYU) -- Statistical estimation under group actions
Tommi Jaakkola (MIT) -- Representation and generation of molecular graphs
Jelani Nelson - UC Berkeley - Dimensionality Reduction II Slides
Emmanuel Abbe (EPFL) -- When deep learning does not learn
Sanjoy Dasgupta (UC San Diego) - Interaction for simpler and better learning
Sam Hopkins - MIT - Sum of Squares Methods for Statistical Problems I
Meena Jagadeesan, UC Berkeley
Gregory Valiant (Stanford) - Sequential Prediction
ML4A 2021 - Stefanie Jegelka