
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
- see slides
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
- see video
- see slides
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
- see video
- see slides
15.06.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Benjamin Bowman (UCLA and AWS)
- On the Spectral Bias of Neural Networks in the Neural Tangent Kernel Regime
- see slides
29.06.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Bingbin Liu (Carnegie Mellon University)
- Thinking Fast with Transformers: Algorithmic Reasoning via Shortcuts
- see slides
06.07.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Ronen Basri (Weizmann Institute of Science)
- On the Connection between Deep Neural Networks and Kernel Methods
- see video
13.07.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Behrooz Tahmasebi (MIT)
- Sample Complexity Gain from Invariances: Kernel Regression, Wasserstein Distance, and Density Estimation
- see video
20.07.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Sitan Chen (Harvard University)
- Theory for Diffusion Models
- see video
- see slides
27.07.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Sanghamitra Dutta (University of Maryland)
- Foundations of Reliable and Lawful Machine Learning: Approaches Using Information Theory
- see video
- see slides
03.08.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Haoyuan Sun (MIT)
- A Unified Approach to Controlling Implicit Regularization via Mirror Descent
- see video
17.08.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Surbhi Goel (University of Pennsylvania)
- Beyond Worst-case Sequential Prediction: Adversarial Robustness via Abstention
- see video
31.08.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Tom Tirer (Bar-Ilan University)
- Exploring Deep Neural Collapse via Extended and Penalized Unconstrained Features Models
- see video
07.09.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Rahul Parhi (EPFL)
- Deep Learning Meets Sparse Regularization
- see video
- see slides
14.09.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Vidya Muthukumar (Georgia Institute of Technology)
- Classification versus regression in overparameterized regimes: Does the loss function matter?
- see video
21.09.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Florian Schaefer (Georgia Tech)
- Solvers, Models, Learners: Statistical Inspiration for Scientific Computing
05.10.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Michael Murray (UCLA)
- Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
- Live Stream, registration required, check abstract for details
12.10.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Micah Goldblum (NYU)
- to be announced
- Live Stream, registration required, check abstract for details
19.10.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Daniel Murfet (University of Melbourne)
- Phase transitions in learning machines
- Live Stream, registration required, check abstract for details
02.11.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA
- Oscar Leong (Caltech)
- to be announced
- Live Stream, registration required, check abstract for details