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How Well Can We Generalize Nonlinear Learning Models in High Dimensions??
Integrative Discriminant Analysis Methods for Multi-view Data
Intelligent Randomized Algorithms for the Low CP-Rank Tensor Approximation Problem
Interview with Margaret Deirdre O'Hartigan
Lecture (Remotely)
Lillian Gamm
Limits of Dense Simplicial Complexes
Luu Nhat Tam Ngyuen
Method of Moments: From Sample Complexity to Efficient Implicit Computations
Motivic Euler characteristics and the Motivic Segal-Becker theorem (Remotely)
On Multiclass Adversarial Training, Perimeter Minimization, and Multimarginal Optimal Transport Problems
Path induction and the indiscernibility of identicals
Persistent cup-length
Persistent homology and its fibre (Remotely)
Ramification in Higher Algebra
Relaxing Gaussian Assumptions in High Dimensional Statistical Procedures
Sarah Reyes
Simplifying Federated Learning Jobs With Flame
Stability and Generalization in Graph Convolutional Neural Networks