The focus of this seminar is various methods in scientific computing, the analysis of their convergence properties and computational efficiency, and their adaptation to specific applications.

The seminar meets Mondays, 1:25-2:15 pm, in 406 Gates Hall.

Date	Speaker and Title
Sep 09	Yuekai Sun (Statistics, University of Michigan) Training individually fair ML systems with sensitive subspace robustness
Sep 16	Elliot Cartee (Math, Cornell) Control-Theoretic Models of Environmental Crime
Sep 23	Yuehaw Khoo (Statistics, University of Chicago) Multimarginal optimal transport and density functional theory
Sep 30	Mathieu Lauriere (ORFE, Princeton) Machine Learning Methods for Mean Field Control and Mean Field Games
Oct 07
Oct 21	Vassilis Kalantzis (IBM Research) Domain decomposition Rayleigh-Ritz approaches for symmetric generalized eigenvalue problems
Oct 28	Erdem Sarıyüce (Computer Science & Engineering, Buffalo) Local Algorithms for Hierarchical Dense Subgraph Discovery
Nov 04	Jonathan Weare (Math, NYU) Fast randomized iterative numerical linear algebra for quantum chemistry and other applications
Nov 11	Yingjie Fei (ORIE, Cornell) SDP Relaxation for Clustering under Gaussian Mixture Model: Hidden Integrality, Optimality and Robustness
Nov 18	Christina Lee Yu (ORIE, Cornell University) Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation
Nov 25	No seminar this week
Dec 02	Silke Glas (Computer Science, Cornell University) Canceled due to Cornell closing for weather
Dec 09	Dongping Qi (CAM, Cornell) Path planning under initial uncertainty
	John Ryan (Computer Science, Cornell) Fast Updatable Factorizations for Systems with Hierarchical Submatrices