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
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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
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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
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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
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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
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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
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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
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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
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• 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
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07.09.2023, 17:00 Uhr, Math Machine Learning seminar MPI MIS + UCLA

• Rahul Parhi (EPFL)
• Deep Learning Meets Sparse Regularization
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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