University of Southern California
Machine Learning Center

Machine Learning Seminars

Visitor Information


Direction to USC main campus: here

Public parking information: here

Subscribe to USC Machine Learning Mailing List.

Spring 2017

Location: SAL 101

*Click on the titles to view the abstracts.



Date Speaker Title
02 Feb 2017
Finale Doshi-Velez (Harvard)
Characterizing and Conquering Non-Identifiability in Non-negative Matrix Factorization
17 Mar 2017 Location: RTH 526
Anshumali Shrivastava (Rice)
Probabilistic Hashing for Scalable, Sustainable and Secure Machine Learning
27 Apr 2017 Location: MPH 101
Matus Telgarsky (UIUC)
Representation power of neural networks


Fall 2016



Date Speaker Title
27 Sep 2016
Le Song (Gatech)
Discriminative Embedding of Latent Variable Models for Structured Data
06 Oct 2016
Rong Ge (Duke)
Avoid Spurious Local Optima: Homotopy Method for Tensor PCA
27 Oct 2016
Sewoong Oh (UIUC)
Fundamental Limits and Efficient Algorithms in Adaptive Crowdsourcing
08 Nov 2016 Location: RTH 526
Robert Nowak (UW–Madison)
Learning Human Preferences and Perceptions From Data
14 Nov 2016 Location: SGM 123
Hal Daumé III (UMD)
Learning Language through Interaction
17 Nov 2016
Arindam Banerjee (UMN)
Learning with Low Samples in High-Dimensions: Estimators, Geometry,and Applications
29 Nov 2016
Richard Samworth (U. Cambridge)
High-dimensional changepoint estimation via sparse projection


Spring 2016



Date Speaker Title
19 Jan 2016
Jure Leskovec (Stanford)
Machine Learning for Human Decision Making
26 Jan 2016
Christopher Ré (Stanford)
DeepDive: A Dark Data System
02 May 2016 Location:
SAL 213

James Foulds (UCSD)
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
06 May 2016 Location: RTH 526
John Lafferty (University of Chicago)
Statistical Learning Under Communication and Shape Constraints


Fall 2015

View highlights of past events

Date Speaker Title
15 Oct 2015
Xifeng Yan (UCSB)
Graph Analysis and Search in Networks
[Highlight Video]
22 Oct 2015
Lihong Li (MSR)
Taming the Monster: Provably Efficient Algorithms for Contextual Bandits with General Policy Classes
[Highlight Video]
27 Oct 2015
Yisong Yue (Caltech)
A Decision Tree Framework for Data-Driven Speech Animation
29 Oct 2015
Nina Balcan (CMU)
Learning Submodular Functions
03 Nov 2015
Geoffrey Zweig (MSR)
High Performance Image Captioning
19 Nov 2015
Heng-Tze Cheng (Google Research)
Sibyl: Google-Scale Machine Learning
03 Dec 2015
Kyunghyun Cho (NYU)
Neural machine translation -- Progress Report