Bayesian Inference
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task
Neural Information Processing Systems http://nips.cc/
The Broad Optimality of Profile Maximum Likelihood
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Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu
Neural Information Processing Systems http://nips.cc/
Proximal Graphical Event Models
Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao
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Parsimonious Bayesian deep networks
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DAGs with NO TEARS: Continuous Optimization for Structure Learning
Xun Zheng, Bryon Aragam, Pradeep K. Ravikumar, Eric P. Xing
Neural Information Processing Systems http://nips.cc/
Dynamic Network Model from Partial Observations
Elahe Ghalebi, Baharan Mirzasoleiman, Radu Grosu, Jure Leskovec
Neural Information Processing Systems http://nips.cc/
Direct Estimation of Differences in Causal Graphs
Yuhao Wang, Chandler Squires, Anastasiya Belyaeva, Caroline Uhler
However, the undirected setting is often insufficient: only a causal (i.e., directed) network provides