Courses/Seminars‎ > ‎

‎Forecasting/Machine Learning (SU14)‎

The presentation order is below:
Date
Presenter
Topic/Paper
07/09
 Saddle Points and Non-Convex Optimization.
Razvan Pascanu, Yann N. Dauphin, Surya Ganguli, Yoshua Bengio.
arxiv
07/16
Practical Variational Inference for Neural Networks.
Alex Graves
NIPS 2011.
pdf, video
07/23  Counterfactual Reasoning and Learning System
Léon Bottou, Jonas Peters, Joaquin Quiñonero-Candela, Denis X. Charles, D. Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Simard, and Ed Snelson.
arxiv
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