We will be hosting a half-day IITD Workshop on AI & ML, which will include talks by DAIR alumni, who are currently graduate students in the US as well as a few of us. The schedule is as follows:

Venue: SIT 001

Date: Friday 5th January 2018

2:00-2:10

Opening Remarks

 

2:10-2:40

Title: Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models

Speaker: Aditya Grover (Stanford)

 

2:40-3:10

Title: Inferencing in Adversarial Generative models

Speaker: Sai Rajeshwar (MILA)

 

3:10-3:30

Title: Provably Efficient Algorithms for Learning Neural Networks

Speaker: Surbhi Goel (U Texas)

 

3:30-4:00

Break

 

4:00-5:00 [Move to Bharti 101]

Title: On learning cognitive tasks

Speaker: Ranjay Krishna (Stanford)

 

5:10-5:30 [Back to SIT 001]

Title: Learning Higher Order Potentials For MRFs

Speaker: Dinesh Khandelwal (IITD)

 

5:30-5:50

Title: Entity Linking/Typing over a Large Hierarchical Label Space: Methods and New Resources

Speaker: Shikhar Murty (U Mass)

 

5:50-6:10

Title: Coarse-to-fine Lifted MAP inference in Computer Vision

Speaker: Ankit Anand (IITD)

 

6:10-6:30

Title: Consistent Robust Regression

Speaker: Kush Bhatia (Berkeley)