Schedule

The event starts at 9:20am and ends at 6pm on Thursday, October 22nd, 2015. Registration opens at 8:30am.

The program includes

3 invited talks by Yann LeCun, Trevor Darrell, and Jeff Dean;
9 short talks and two poster sessions;
and, most importantly, break/lunch time for discussion.

8:30am	Registration	Registration opens
9:20am	Welcome to BayLearn 2015!	Andrew Ng, Baidu Research; Adam Coates, Baidu Research
9:30am	Keynote 1	Yann LeCun, Facebook The path to AI requires us to solve the unsupervised learning question
10:15am	Session 1 Session Chair: Joaquin Quinonero Candela	Moritz Hardt (Google); Benjamin Recht (UC Berkeley); Yoram Singer (Google) Train faster, generalize better: Stability of stochastic gradient descent David Helmbold (UC Santa Cruz); Philip Long (Sentient) Exploring Dropout's Bias
10:45am	Break
11:15am	Session 2 Session Chair: Jean-Francois Paiement	Miguel Carreira-Perpinan (UC Merced); Ramin Raziperchikolaei (UC Merced) An Ensemble Diversity Approach to Binary Hashing Cynthia Dwork (Microsoft Research); Vitaly Feldman (IBM Research - Almaden); Moritz Hardt (Google); Toniann Pitassi (University of Toronto); Omer Reingold (Samsung Research America); Aaron Roth (University of Pennsylvania) Generalization in Adaptive Data Analysis and Holdout Reuse Hung Bui (Adobe Research); Jaya Kawale (Adobe Research); Branislav Kveton (Adobe Research); Long Tran-Thanh; Sanjay Chawla (University of Sydney) Efficient Thompson Sampling for Online Matrix-Factorization Recommendation Michael Pacer (UC Berkeley); Tom Griffiths (UC Berkeley) Some points on graphs: finitary Poisson processes, interventions and first-shot events
12:15pm	Lunch + Poster session	Complimentary lunch provided
1:45pm	Keynote 2	Trevor Darrell, UC Berkeley Perceptual representation learning across diverse modalities and domains
2:30pm	Session 3 Session Chair: Alexei Pozdnoukhov	Haonan Yu (Purdue University), Jiang Wang (Baidu), Zhiheng Huang (Facebook), Yi Yang (Baidu), Wei Xu (Baidu) Video Paragraph Captioning using Hierarchical Recurrent Neural Networks Jimei Yang (UC Merced), Scott Reed (U Mich), Ming-Hsuan Yang (UC Merced), Honglak Lee (U Mich) Learning to Rotate 3D Objects with Recurrent Convolutional Encoder-Decoder Networks
3:00pm	Break
3:30pm	Session 4 Session Chair: Samy Bengio	Ashesh Jain (Stanford University); Ashutosh Saxena (Brain Of Things) Brain4Cars: Sensory-Fusion Recurrent Neural Models for Driver Activity Anticipation
3:45pm	Keynote 3	Jeff Dean, Google Large-Scale Deep Learning for Intelligent Computer Systems
4:30pm	Reception + Poster session
6:00pm		End of the Symposium