
Mathematical Machine Learning
Head:
Guido Montúfar (Email)
Phone:
+49 (0) 341 - 9959 - 880
Fax:
+49 (0) 341 - 9959 - 658
Address:
Inselstr. 22
04103 Leipzig
Seminars 2022
13.01.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Yuan Cao (University of California, LA)
- Towards Understanding and Advancing the Generalization of Adam in Deep Learning
- see video
20.01.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Philipp Petersen (University of Vienna)
- Optimal learning in high-dimensional classification problems
- see video
20.01.2022, 18:30 Uhr, Deep Learning Theory Group Seminar
- Ruhui Jin (University of Texas at Austin)
- Tensor-structured sketching for constrained optimizations
21.01.2022, 17:00 Uhr, Deep Learning Theory Group Seminar
- Tiffany Vlaar (University of Edinburgh)
- to be announced
27.01.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Daniel Russo (Columbia University)
- Adaptivity and Confounding in Multi-armed Bandit Experiments
- see video
04.02.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Song Mei (University of California, Berkeley)
- The efficiency of kernel methods on structured datasets
- see video
10.02.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Hui Jin (University of California, Los Angeles)
- Learning curves for Gaussian process regression with power-law priors and targets
- see video
17.02.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Maksim Velikanov (Skolkovo Institute of Science and Technology)
- Spectral properties of wide neural networks and their implications to the convergence speed of different Gradient Descent algorithms
24.02.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Danijar Hafner (Google Brain & University of Toronto)
- General Infomax Agents through World Models
- see video
03.03.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Marco Mondelli (Institute of Science and Technology Austria)
- Gradient Descent for Deep Neural Networks: New Perspectives from Mean-field and NTK
- see slides
04.03.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Daniel McKenzie (UCLA)
- Implicit Neural Networks: What they are and how to use them.
- see video
10.03.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Gergely Neu (Universitat Pompeu Fabra, Barcelona)
- Generalization Bounds via Convex Analysis
- see video
11.03.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
17.03.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Gabin Maxime Nguegnang (RWTH Aachen University)
- Convergence of gradient descent for learning deep linear neural networks
- see video
24.03.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Ohad Shamir (Weizmann Institute of Science)
- Implicit bias in machine learning
- see video
31.03.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Benjamin Eysenbach (Carnegie Mellon University & Google Brain)
- The Information Geometry of Unsupervised Reinforcement Learning
- see video
07.04.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Chaoyue Liu (Ohio State University)
- Transition to Linearity of Wide Neural Networks
- see video
14.04.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Christoph Lampert (Institute of Science and Technology, Austria)
- Robust and Fair Multisource Learning
- see video
21.04.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Berfin Şimşek (Ecole Polytechnique Fédérale de Lausanne (EPFL))
- The Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetry-Induced Saddles and Global Minima Manifold
- see video
05.05.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Noam Razin (Tel Aviv University)
- Generalization in Deep Learning Through the Lens of Implicit Rank Minimization
- see slides
12.05.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Zixiang Chen (UCLA)
- Benign Overfitting in Two-layer Convolutional Neural Networks
- see video
19.05.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Sayan Mukherjee (MPI MiS, Leipzig + Universität Leipzig)
- Inference in dynamical systems and the geometry of learning group actions
- see video
26.05.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Melikasadat Emami (UCLA)
- Asymptotics of Learning in Generalized Linear Models and Recurrent Neural Networks
- see video
02.06.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Tan Nguyen (UCLA)
- Principled Models for Machine Learning
- see video
09.06.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Guang Cheng (UCLA)
- Nonparametric Perspective on Deep Learning
- see video
16.06.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Jingfeng Wu (Johns Hopkins University)
- A Fine-Grained Characterization for the Implicit Bias of SGD in Least Square Problems
- see video
07.07.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Sebastian Kassing (Institute for Mathematical Stochastics, University of Muenster)
- to be announced
- Videobroadcast, registration required, check abstract for details
14.07.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Rong Ge (Duke University)
- to be announced
- Videobroadcast, registration required, check abstract for details
21.07.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Mark Schmidt (University of British Columbia)
- to be announced
- Videobroadcast, registration required, check abstract for details
28.07.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Arash A. Amini (UCLA)
- to be announced
- Videobroadcast, registration required, check abstract for details
25.08.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Melanie Weber (Mathematical Institute, University of Oxford)
- to be announced
- Videobroadcast, registration required, check abstract for details
22.09.2022, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Gintare Karolina Dziugaite (Google Brain)
- to be announced
- Videobroadcast, registration required, check abstract for details