List of Talks

Some info on the talks scheduled so far:

Sr. No.	Date	Presenter	Abstract/reference/slides
1	09/16/2016 09/23/2016	Mohammadreza Soltani msoltani@iastate.edu	Randomized numerical linear algebra Slides: RNLA Paper
2	09/30/2016	Praneeth K N pkurpadn@iastate.edu	Non-convex Robust PCA Paper
3	10/07/2016	Zhengyu Chen zhengyuc@iastate.edu	Approximation Algorithms for Model-Based Compressive Sensing Paper
4	10/14/2016	Ardhendu Tripathy ardhendu@iastate.edu	Distributed Machine Learning Using Codes Slides: Distributed machine learning using codes
5	10/28/2016	Pan Zhong pzhong@iastate.edu	VC Dimension Slides: VC dimension
6	04/11/2016	Han Guo hanguo@iastate.edu	Video Denoising using PCA Slides: Video Denoising
7	11/11/2016	Davood Hajinezhad dhaji@iastate.edu	Stochastic Optimization Slides: NESTT Paper
8	11/18/2016	Gauri Jagatap gauri@iastate.edu	Phase Retrieval Slides: Phase Retrieval Paper 1 Paper 2
9	12/02/2016	Praneeth Kurpad pkurpadn@iastate.edu	Non-convex Robust PCA Slides: Non-convex RPCA Paper
10	01/13/2017	Binghui Wang binghuiw@iastate.edu	Adversarial Machine Learning Slides: Adversarial Machine Learning

Deep Learning Series

11	01/20/2017	Qi Xiao qxiao@iastate.edu	Introduction to Deep Learning Reference 1 Reference 2 Slides: Intro to Deep Learning
12	01/27/2017	Xiangyi Chen xiangyi@iastate.edu	Optimization in Deep Learning Slides: Opt for DNN
13	02/03/2017	Jason Saporta jsaporta@iastate.edu	Convolutional Neural Networks Slides: CNN Reference 1 Reference 2 Paper
14	02/10/2017	Thanh Nguyen thanhng@iastate.edu	Recurrent Neural Networks Slides: Recurrent NN Reference 1 Reference 2
15	02/17/2017	Manaswi Podduturi manaswip@iastate.edu	Applications of DNN Slides: Applications of DNN
16	02/24/2017	Shiyang Li shiyangl@iastate.edu	Generative Adversarial Networks Slides: GAN

Low-rank and Sparse Signal Processing Series

17	03/03/2017	Songtao Lu songtao@iastate.edu	Non-negative Matrix Factorization Slides: NMF
18	03/24/2017	Rahul Singh rasingh@iastate.edu	Graph Signal Processing Slides: GSP
19	03/31/2017	Davood Hajinezhad dhaji@iastate.edu	Nonconvex Low Rank Matrix Factorization Slides: Matrix completion
20	04/14/2017	Charlie Hubbard hubbardc@iastate.edu	Parallel Methods for Matrix Completion Slides: Parallel Matrix Completion

Summer seminars (07/28/2017)

1. When are non-convex problems not scary?, by Ju Sun.

2. Locality Sensitive Hashing, by Ludwig Schmidt.

Spring’18 Seminars

21	01/12/2018	Ardhendu Tripathy ardhendu@iastate.edu	Privacy-preserving adversarial networks Slides: Summer@MERL
22	01/19/2018 01/26/2018	Dr. Chinmay Hegde chinmay@iastate.edu	Power of Gradient Descent Notes: Gradient Descent
23	02/02/2018	Gauri Jagatap gauri@iastate.edu	Symmetry-Breaking Convergence Analysis of Certain Two-layered Neural Networks with ReLU nonlinearity Slides: Convergence Analysis
24	02/09/2018	Gauri Jagatap gauri@iastate.edu	Symmetry-Breaking Convergence Analysis of Certain Two-layered Neural Networks with ReLU nonlinearity Slides: Convergence Analysis
25	02/16/2018	Aditya Balu baditya@iastate.edu	Interpreting the Deep Learning Models Slides: Interpretable Deep Learning
26	02/23/2018	Zhanhong Jiang zhjiang@iastate.edu	Consensus-based distributed stochastic gradient descent method for fixed topology networks Slides:
27	03/02/2018	Rahul Singh rasingh@iastate.edu	Graph Convolutional Neural Networks Slides:
28	03/23/2018	Praneeth Narayanamurthy pkurpadn@iastate.edu	Robust Subspace Clustering – Part 1 Notes: RSC-part 1
29	03/30/2018	Praneeth Narayanamurthy pkurpadn@iastate.edu	Robust Subspace Clustering – Part 2 Notes: RSC-part 2
30	04/06/2018	Viraj Shah viraj@iastate.edu	Solving Linear Inverse Problems using GAN priors Slides: PGD-GAN

Fall ’18 Seminars – Robustifying ML

31	08/24/2018	Dr. Chinmay Hegde chinmay@iastate.edu	Robustifying ML – Introduction Slides: Lecture 1
32	08/31/2018	Dr. Chinmay Hegde	White box and black box attacks Slides: Lecture 2
33	09/07/2018	Dr. Soumik Sarkar soumiks@iastate.edu	Attacks on RL models Slides: Lecture 3
34	09/14/2018	Dr. Soumik Sarkar	Defense against the Dark Arts Slides: Lecture 4
35	09/26/2018	TBD	Edge (“minimal distortion”) cases + defense Slides: TBD
36	10/09/2018	TBD	Data poisoning Slides: TBD