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NIPS 2014 Workshop: Perturbations, Optimization, and Statistics

Schedule

8:45-9:00 Introduction
9:00-10:00 Invited talk 1
Tamir Hazan (Haifa)
             Probabilistic inference by randomly perturbing max-solvers             
Talk + Discussion
10:00-10:30 Coffee Break
10:30-11:30 Invited talk 2
Ian Goodfellow (Google)
             Generative Adversarial Networks             
Talk + Discussion
11:30-11:40 Spotlight 1 Applying Dropout Regularization to Support Vector Machines
11:40-11:50 Spotlight 2 A Hybrid Approach for Inference Combining Variational and Sampling Techniques
11:50-12:00 Spotlight 3 Computing Expected Losses in Perturbation Model using Multidimensional Parametric Min-cuts
12:00-12:10 Spotlight 4 Fast Learning with Noise in Deep Neural Nets
12:10-12:20 Spotlight 5 Privacy for Free: Stochastic Gradient Langevin Dynamics
12:20-… Poster Session
Lunch break
14:30-15:30 Invited talk 3
Jacob Abernethy (Michigan)
             Minimax Solutions, Random Playouts, and Perturbations             
Talk + Discussion
15:30-16:30 Invited talk 4
Manfred Warmuth (UCSC)
             Follow the Leader with Dropout Perturbations             
Talk + Discussion
16:30-17:00 Coffee Break
17:00-18:00 Invited talk 5
Yury Makarychev (TTI-C)
             Title coming soon             
Talk + Discussion
18:00-18:30 TBD