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Showing results 17 to 36 of 64 < previous next >

Issue Date	Title	Author(s)
2012	Hierarchical Bayesian Modeling: Efficient Inference and Applications	Wang, Chong
2017	Integrating Exponential Dispersion Models to Latent Structures	Basbug, Mehmet Emin
2023	Interpretable Machine Learning for the Physical Sciences	Cranmer, Miles Donald
2023	Investigating Persuasiveness in Large Language Models	Ekpo, Promise Osaine
2019	Large-scale Multi-output Gaussian Processes for Clinical Decision Support	Cheng, Li-Fang
2021	Learned surrogates and stochastic gradients for accelerating numerical modeling, simulation, and design	Beatson, Alex
2022	Learning Algorithms for Intelligent Agents and Mechanisms	Rahme, Jad
2021	Learning intuitive physics: a computational investigation	Piloto, Luis Rolando
2023	Learning Language through Interactions with the Digital World	Yang, John Boda
2019	Learning Visual Affordances for Robotic Manipulation	Zeng, Andy
2021	Learning-Aided Design with Structured Generative Modeling	Seff, Ari
2021	Machine Learning for Decision Making: Applications to Off-Policy Learning and Combinatorial Optimization	Lu, Hao
2020	Machine learning for multi-subject fMRI analysis	Zhang, Hejia
2021	Machine Learning Methods for Computational Social Science	Tarr, Alexander
2023	Macroeconomics and Heterogeneous Reality with Machine Learning	Yang, Yucheng
2022	Making Sense of a Complex World: A Data-Driven Approach	Thiem, Thomas Noel
Feb-2018	The malicious use of artificial intelligence : forecasting, prevention, and mitigation	Brundage, Miles; et.al.
2019	Meta-Learning for Data and Processing Efficiency	Ravi, Sachin
2023	Metacognition: toward a computational framework for improving our minds	Krueger, Paul
2022	Multi-Agent Sequential Decision Modeling for Information Collection and Intervention in Epidemics and Wildfires	Thul, Lawrence A

Showing results 17 to 36 of 64 < previous next >