The detailed schedule will be annonced later.
The event starts at 9:30am and ends at 6pm on Thursday, August 30th, 2012. Registration opens at 9:00am.
The program includes
- 3 invited talks by Stephen Boyd, Andrew Ng and Alex Smola;
- 5 short talks, 5 spotlight presentations and a poster session;
- and, most importantly, break/lunch time for discussion.
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9:00am
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Registration opens |
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9:25am
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Welcome to BayLearn! |
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9:30am
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Keynote 1 |
Stephen Boyd, Stanford
Convex Optimization: From embedded real-time to large-scale distributed. (50 min) |
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10:20am
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Session 1 |
Max Vladymyrov, UC Merced; Miguel Carreira-Perpinan, UC Merced
Fast Training of Graph-Based Algorithms for Nonlinear Dimensionality Reduction (15min)
Laurent El Ghaoui, UC Berkeley; Mert Pilanci, UC Berkeley; Venkat Chandrasekaran, Caltech
Guaranteed Sparse Optimization on the Probability Simplex via Convex Programming (15min) |
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10:50am
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Break |
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11:20am
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Keynote 2 |
Andrew Ng, Stanford
Machine learning and AI via large scale brain simulations. (50 min) | 12:10pm
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Session 2 |
Miguel Carreira-Perpinan, UC Merced; Weiran Wang, UC Merced
Fast algorithms for learning deep neural networks (15min)
Jimei Yang, UC Merced; Ming-Hsuan Yang, UC Merced
Top-Down Visual Saliency via Joint CRF and Dictionary Learning (15min) |
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12:40pm
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Lunch |
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2:00pm
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Keynote 3 |
Alex Smola, Google
Modeling User Interests. (50min) |
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2:50pm
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Session 3 |
Miroslav Dudik, Microsoft; Dumitru Erhan, Google; John Langford, Microsoft; Lihong Li, Microsoft
Sample-efficient Nonstationary-Policy Evaluation for Contextual Bandits (15min) |
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3:05pm
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Spotlights |
Tim Salimans, Erasmus U. Rotterdam; David Knowles, Stanford University
Fixed-Form Variational Posterior Approximation Through Stochastic Linear Regression (3min)
Khaled Refaat, UCLA, Arthur Choi, UCLA, Adnan Darwiche, UCLA
New Advances and Theoretical Insights into EDML (3min)
Ramanathan Subramanian, Northeastern Univ.; Romer Rosales, 100plus; Glenn Fung, Siemens; Jennifer Dy, Northeastern Univ.
Evaluating Annotators for Crowdsourcing (3min)
Qifeng Qiao, Hitachi
Model-based decision strategy recognition (3min)
Srinath Ravindran, North Carolina State Univ.
Learning with Few Examples using Multimodal Data (3min) |
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3:20pm
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Break |
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3:50pm
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Posters |
Session with posters from Session 1, 2, 3 and Spotlights (130min) |
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6:00pm
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End of the Symposium |
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