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Wed Dec 05 09:50 AM -- 10:00 AM (PST)
Agreement-Based Learning
Percy Liang · Dan Klein · Michael Jordan
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Wed Dec 05 09:50 AM -- 10:00 AM (PST)
Expectation Maximization, Posterior Constraints, and Statistical Alignment
Kuzman Ganchev · Joao V Graca · Ben Taskar
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Wed Dec 05 09:50 AM -- 10:00 AM (PST)
Efficient Bayesian Inference for Dynamically Changing Graphs
Ozgur Sumer · Umut A Acar · Alexander T. Ihler · Ramgopal R. Mettu
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Wed Dec 05 09:50 AM -- 10:00 AM (PST)
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains
Andrea Lecchini-Visintini · John Lygeros · Jan Maciejowski
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Wed Dec 05 09:50 AM -- 10:00 AM (PST)
Multi-task Gaussian Process Prediction
Edwin Bonilla · Kian Ming A Chai · Chris Williams
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Wed Dec 05 09:50 AM -- 10:00 AM (PST)
Combined discriminative and generative articulated pose and non-rigid shape estimation
Leonid Sigal · Alexandru Balan · Michael J Black
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Wed Dec 05 09:50 AM -- 10:00 AM (PST)
Bayesian Multi-View Learning
Shipeng Yu · Balaji R Krishnapuram · Romer E Rosales · Harald Steck · R. Bharat Rao
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Wed Dec 05 09:50 AM -- 10:00 AM (PST)
An Analysis of Inference with the Universum
Fabian H Sinz · Olivier Chapelle · Alekh Agarwal · Bernhard Schölkopf
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Wed Dec 05 09:50 AM -- 10:00 AM (PST)
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes
Nicolas Chapados · Yoshua Bengio
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Wed Dec 05 09:50 AM -- 10:00 AM (PST)
Cooled and Relaxed Survey Propagation for MRFs
Hai Leong Chieu · Wee Sun Lee · Yee Whye Teh