
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 2023
12.01.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Felipe Suárez-Colmenares (MIT)
- Learning threshold neurons via the "edge of stability”
- see video
- see slides
19.01.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Xiaowu Dai (UCLA)
- Kernel Ordinary Differential Equations
- see video
26.01.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Liu Ziyin (University of Tokyo)
- The Probabilistic Stability and Low-Rank Bias of SGD
- see video
02.02.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Mihaela Rosca (DeepMind)
- On continuous time models of gradient descent and instability in deep learning
- see video
09.02.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Renjie Liao (University of British Columbia)
- Gaussian-Bernoulli RBMs Without Tears
- see video
16.02.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Julia Elisenda Grigsby (Boston College)
- Functional dimension of ReLU Networks
- see video
23.02.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Jalaj Bhandari (Columbia University)
- Global guarantees for policy gradient methods.
- see video
- see slides
02.03.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Samy Wu Fung (Colorado School of Mines)
- Using Hamilton Jacobi PDEs in Optimization
- see video
- see slides
09.03.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Ricardo S. Baptista (Caltech)
- On the representation and learning of triangular transport maps
- see video
- see slides
16.03.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Chulhee Yun (KAIST)
- Shuffling-based stochastic optimization methods: bridging the theory-practice gap
- see video
23.03.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Dohyun Kwon (University of Wisconsin-Madison)
- Convergence of score-based generative modeling
- see video
06.04.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Jaehoon Lee (Google Brain)
- Exploring Infinite-Width Limit of Deep Neural Networks
- see video
13.04.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Wei Zhu (University of Massachusetts Amherst)
- Implicit Bias of Linear Equivariant Steerable Networks
- see video
- see slides
20.04.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Aditya Grover (UCLA)
- Generative Decision Making Under Uncertainty
- see video
27.04.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Stéphane d'Ascoli (ENS and FAIR Paris)
- Double descent: insights from the random feature model
- see video
11.05.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Henning Petzka (RWTH Aachen University)
- Relative flatness and generalization
- see video
18.05.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Duc N.M Hoang (University of Texas, Austin)
- Revisiting Pruning as Initialization through the Lens of Ramanujan Graph
- see video
25.05.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Łukasz Dębowski (IPI PAN)
- A Simplistic Model of Neural Scaling Laws: Multiperiodic Santa Fe Processes
- Link
- see slides
01.06.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Rishi Sonthalia (UCLA)
- Least Squares Denoising: Non-IID Data, Transfer Learning and Under-parameterized Double Descent
08.06.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Simone Bombari (IST Austria)
- Optimization, Robustness and Privacy. A Story through the Lens of Concentration
- Live Stream, registration required, check abstract for details
06.07.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Ronen Basri (Weizmann Institute of Science)
- to be announced
- Live Stream, registration required, check abstract for details
17.08.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Surbhi Goel (University of Pennsylvania)
- to be announced
- Live Stream, registration required, check abstract for details