One World Seminar Series on the Mathematics of Machine Learning

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dynamical systems numerical analysis probability statistics theory

Audience: Researchers in the topic
Seminar series time: Wednesday 16:00-17:00 in your time zone, UTC
Organizers: Philipp Petersen*, Wuyang Chen, Stephan Wojtowytsch, Matthew Thorpe, Issa Karambal, Tiffany Vlaar, Franca Hoffmann
*contact for this listing
Upcoming talks
Past talks
Your timeSpeakerTitle
WedNov 3017:00Francis BachInformation Theory Through Kernel Methods
WedNov 1617:00Simone Brugiapagliahe Mathematical Foundations of Deep Learning: From Rating Impossibility to Practical Existence Theorems
WedNov 0917:00Johannes BrandstetterTowards a New Generation of Neural PDE Surrogates
WedOct 1216:00Sophie LangerCircumventing the curse of dimensionality with deep neural networks
WedOct 0516:00Peter RichtarikTBA
WedSep 2116:00Gal VardiImplications of the implicit bias in neural networks
WedSep 1416:00Denny WuHigh-dimensional asymptotics of feature learning in the early phase of NN training
WedMay 1116:00Matthew ColbrookSmale’s 18th Problem and the Barriers of Deep Learning
WedMay 0416:00Hongyang ZhangTBA
WedApr 2716:00Stephan WäldchenExplaining Neural Network Classifiers: Hurdles and Progress
WedApr 2016:00Houman OwhadiComputational Graph Completion
WedDec 0117:00Christoph SchwabDeep Learning in High Dimension: Neural Network Approximation of Analytic Maps of Gaussians
WedOct 1316:00Robert NowakTBC
WedMay 1916:00Clarice PoonSmooth bilevel programming for sparse regularisation
WedMay 0516:00Nicolas Garcia TrillosAdversarial Classification, Optimal Transport, and Geometric Flows
WedMar 2417:00Jeff CalderTBA
WedMar 1717:00Rachel WardTBA
WedMar 1017:00Boris HaninTBA
WedMar 0317:00Nathaniel TraskStructure preservation and convergence in scientific machine learning
WedFeb 2417:00Bubacarr BahTBA
WedFeb 1717:00Frederic KoehlerTBA
WedFeb 1017:00Andrea AgazziConvergence and optimality of single-layer neural networks for reinforcement learning
WedFeb 0317:00Andrea BertozziTBA
WedJan 2717:00Nathaniel TraskStructure preservation and convergence in scientific machine learning
WedJan 2017:00Melanie WeberGeometric Methods for Machine Learning and Optimization
WedJan 1317:00Carola Bibiane SchönliebMachine Learned Regularization for Solving Inverse Problems
WedDec 1617:00Ziwei JiThe dual of the margin: improved analyses and rates for gradient descent’s implicit bias
WedDec 0917:00Nadia DrenskaA PDE Interpretation of Prediction with Expert Advice
WedNov 2517:00Felix VoigtlaenderNeural network performance for classification problems with boundaries of Barron class
WedNov 1817:00Bamdad HosseiniConditional Sampling with Monotone GANs: Modifying Generative Models to Solve Inverse Problems
WedNov 1117:00Zhengdao ChenA Dynamical Central Limit Theorem for Shallow Neural Networks
WedNov 0417:00Jonas LatzAnalysis of Stochastic Gradient Descent in Continuous Time
WedOct 2817:00Yu BaiHow Important is the Train-Validation Split in Meta-Learning?
WedOct 2116:00Ryan MurrayConsistency of Cheeger cuts: Total Variation, Isoperimetry, and Clustering
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