ML Theory @ GT

Machine learning theory reading group at Georgia Tech

Meetings Schedule and presenters

Spring 2023

Date Paper Presenter
20 Jan 2023 Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space Yunbum Kook
27 Jan 2023 Spectral Methods for Data Science: A Statistical Perspective Tyler LaBonte
3 Feb 2023 Spectral Methods for Data Science: A Statistical Perspective Jack Hill
10 Feb 2023 Spectral Methods for Data Science: A Statistical Perspective Chiraag Kaushik
17 Feb 2023 Spectral Methods for Data Science: A Statistical Perspective Yun-Feng Lo
24 Feb 2023 Characterizing the implicit bias via a primal-dual analysis Kuo-Wei Lai
3 Mar 2023 Learning Strongly Monotone Problems: From Full Information to Bandit Feedback Yifan Wang
10 Mar 2023 No meeting due to ACORN  
17 Mar 2023 No meeting due to Andre Wibisono visit  
24 Mar 2023 No meeting due to spring break  
31 Mar 2023 Dueling-Opt: Convex Optimization with Relative Feedback Aadirupa Saha
7 Apr 2023 The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation Yeojoon Youn
14 Apr 2023 Covariance estimation for distributions with 2 + ε moments Xinyuan Cao
21 Apr 2023 New Projection-free Algorithms for Online Convex Optimization with Adaptive Regret Guarantees Zihao Hu