Directed Networks
Discrete Object Generation with Reversible Inductive Construction
Ari Seff, Wenda Zhou, Farhan Damani, Abigail Doyle, Ryan P. Adams
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Random deep neural networks are biased towards simple functions
Giacomo De Palma, Bobak Kiani, Seth Lloyd
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Idiographic Personality Gaussian Process for Psychological Assessment
However, existing frameworks face several interrelated limitations.
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
Rui Luo, Jianhong Wang, Yaodong Yang, Jun WANG, Zhanxing Zhu
Neural Information Processing Systems http://nips.cc/
On Tractable Computation of Expected Predictions
Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck
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Counting the Optimal Solutions in Graphical Models
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Learning convex bounds for linear quadratic control policy synthesis
Jack Umenberger, Thomas B. Schรถn
Neural Information Processing Systems http://nips.cc/
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task
Neural Information Processing Systems http://nips.cc/