It is an informal group for discussing the latest work in the field of Machine Learning. We usually discuss a paper from a recent conference(NIPS,ICML..) each meeting.
This Spring we will meet every Friday@4:00pm in 5126 Upson.
Date |
Topic |
Paper |
Discussion Leader |
---|---|---|---|
4/5 |
Metric Learning |
Karthik |
|
3/29 |
Metric Learning |
Ozan |
|
3/15 |
Submodularity |
Karthik |
|
3/08 |
Large-Scale Learning |
Anshumali |
|
3/01 |
Large-Scale Learning |
Scaling Up Coordinate Descent Algorithms for Large L_1 Regularization Problems |
Ashesh |
2/22 |
Causal Learning |
Chenhao |
|
2/15 |
Submodularity |
Ruben |
|
2/8 |
Large-Scale Learning |
Moontae |
Date |
Topic |
Paper |
Discussion Leader |
---|---|---|---|
11/16 |
Submodularity |
Learning Mixtures of Submodular Shells with Application to Document Summarization |
Ruben & Karthik |
11/9 |
Generative Models |
Exploiting compositionality to explore a large space of model structures |
Jason |
10/19 |
Generative Models |
Revisiting k-means: New Algorithms via Bayesian Nonparametrics |
Karthik |
10/12 |
Generative Models |
Ruben |
|
9/28 |
Generative Models |
Adith |
|
9/14 |
Time Series Analysis |
Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping |
Ashesh |
9/7 |
Statistical Estimators |
Karthik |
Date |
Topic |
Paper |
Discussion Leader |
---|---|---|---|
4/6 |
Machine Learning and Game Theory |
Karthik |
Date |
Topic |
Paper |
Discussion Leader |
|
---|---|---|---|---|
11/2 |
Deep Learning |
Parsing Natural Scenes and Natural Language with Recursive Neural Networks |
Abhishek & Ainur |
|
10/19 |
Graphical Models |
Spectral Algorithm for Latent Tree Graphical Models |
Karthik |
|
10/5 |
|
Trading Representability for Scalability: Adaptive Multi-Hyperplane Machine for Nonlinear Classification |
Nikos |
|
9/28 |
Submodularity |
Submodularity tutorial |
Ashwin |
|
9/21 |
Graphical Models |
Nikos |
||
9/14 |
Submodularity |
Karthik |
||
9/7 |
Deep-Learning, Graphical Models |
Karthik |
Date |
Topic |
Paper |
Discussion Leader |
---|---|---|---|
4/29, 5/6, 5/13 |
Variational Methods |
Nikos |
|
4/22 |
Deep Learning |
Ainur |
|
4/15 |
Deep Learning |
Akram |
|
4/8 |
Deep Learning |
Akram |
|
4/1 |
Semi-Supervised Learning |
Nikos |
|
3/11 |
Game Theory and Learning |
Ruben |
|
3/4 |
Game Theory and Learning |
Karthik |
|
2/25 |
Multi-Task Learning |
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity |
Bishan |
Date |
Topic |
Paper |
Discussion Leader |
---|---|---|---|
11/12 |
Vision |
Jason |
|
11/5 |
Metric Learning |
Karthik |
|
10/29 |
Clustering |
Ruben |
The group is mainly attended by graduate students. The senior organizers are Ruben and Karthik. Suggestions for topics or papers to discuss are always welcome.
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