1W-MINDS, Oct 10 2024 - Pratik Patil, UC-Berkeley

(1:5:30)

1W-MINDS: Ilse Ipsen, Jan 20, 2022, BayesCG: A probabilistic numeric linear solver

(44:24)

1W-MINDS: Markus Faulhuber, Mar 10, 2022, Optimal sampling patterns in the time-frequency plane

(55:28)

1W-MINDS: Giuseppe Caire, Oct. 22, 2020, The Mathematics of Massive Random Access Communications

(1:13:36)

1W-MINDS: Oct 5, Christopher Musco: Robust Active Learning via Leverage Score Sampling

(55:6)

1W-MINDS: April 20, Clarice Poon: Smooth over-parametrized solvers for non-smooth structured...

(54:47)

1W-MINDS: Ankur Moitra, Feb 3, 2022, Algorithmic Foundations for the Diffraction Limit

(1:19)

1W-Minds: Dec 8, Rongjie Lai: Computational Methods for Mean-field Games

(54:23)

All Dredger’s Mire Collectibles Eternal Strand

(13:12)

1W-Minds:Dec 1,Zhaoran Wang: Demystifying (Deep) Reinforcement Learning with Optimism and Pessimism

(49:44)

1W-MINDS, Oct 31, 2024: Mason Porter, UCLA

(52:14)

1W-MINDS: Tino Ullrich, Feb 4, 2021, A New Subsampling Technique for Random Points and Optimal...

(1:4:3)

1W-MINDS Seminar: Ronald Coifman, May 28, 2020, The Analytic Geometries of Data

(1:5:30)

1W-minds March 7: Qiang Sun (University of Toronto): Understanding ensemble learning: Our first step

(59:52)

1W-MINDS: Yi Ma, April 1, 2021, Deep Networks from First Principles

(57:28)

1W-MINDS: March 2, Yuejie Chi: The Non-asymptotics of Reinforcement Learning

(55:21)

1W-MINDS Sept 26 2024, Joan Bruna (NYU) Quantitative High-Dimensional Learning of Multi-Index Models

(1:3:34)

1W-MINDS: Piotr Indyk, June 10, Learning-Based Sampling and Streaming

(57:10)

1W-MINDS: Philipp Petersen, December 9, 2021, Optimal learning of classifier functions

(54:15)

1W-MINDS: February 16th, Nicolas Gillis: Nonnegative Matrix Factorization: Introduction, denti...

(1:2:11)