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Workshop
Gradient-free variational learning with conditional mixture networks
Conor Heins · Hao Wu · Dimitrije Markovic · Alexander Tschantz · Jeff Beck · Christopher L Buckley
Workshop
Efficient Modeling of Irregular Time-Series with Stochastic Optimal Control
Byoungwoo Park · Hyungi Lee · Juho Lee
Poster
Thu 16:30 Mutual Information Estimation via Normalizing Flows
Ivan Butakov · Aleksandr Tolmachev · Sofia Malanchuk · Anna Neopryatnaya · Alexey Frolov
Poster
Thu 11:00 Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming
Lorenzo Orecchia · Jiawei Hu · Xue He · Wang Mark · Xulei Yang · Min Wu · Xue Geng