The DSRC hosts weekly machine learning reading group meetings, the goal of which is for students to present interesting papers to facilitate discussions that facilitate research.

The group meets every Wednesday from 1:00pm to 2:00pm in Amos Eaton 216. Please contact Alex Gittens if you are interested in presenting or have questions about the group.

Fall 2019

Date Paper Presenter
September 25, 2019 NA NA
October 2, 2019 Disambiguated skip-gram model Anik Saha
October 9, 2019 TBD TBD
October 16, 2019 TBD TBD
October 23, 2019 Variational Inference: Chapter 21 of Kevin Murphy's ML book Deniz Kyouncu
October 30, 2019 TBD TBD
November 6, 2019 TBD TBD
November 13, 2019 TBD TBD
November 20, 2019 Gradient based Variational Inference and its applications: Neal and Hinton 1998, Kingma and Welling 2013 Deniz Koyuncu
November 27, 2019 Thanksgiving  
December 4, 2019 TBD TBD
December 11, 2019 TBD TBD

Spring 2019

Date Paper Presenter
October 16, 2018 Tutorial on Variational Autoencoders

Carl Doersch

Haidar Khan
October 23, 2018 Query Efficient Black-box Attacks

Du et. al.

Daniel Park
October 30, 2018 Learning a Mixture of Two Multinomial Logits

Flavio Chierichetti, Ravi Kumar, Andrew Tomkins

Zhibing Zhao
November 6, 2018 Relational Inductive Biases, Deep Learning, and Graph Networks

Battaglia et. al.

* pages 9-23

Hugo Chen
November 13, 2018 Hierarchical Graph Representation Learning with Differentiable Pooling

Ying et. al.

Zaid Tariq
November 27, 2018 Embedding Words as Distributions with a Bayesian Skip-gram Model

Bražinskas et. al.

Anik Saha
January 29, 2019 Neural Ordinary Differential Equations

Chen. et. al.

Haidar Khan
March 12, 2019 Policy Generalization in Capacity-Limited Reinforcement Learning Rachel Ann
March 26, 2019 BERT: Pre-training of Deep Bidirectional Transformations for Language Understanding Anik Saha

ML Reading Group

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