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Showing results 28 to 47 of 64 < previous next >

Issue Date	Title	Author(s)
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
2021	Multi-Source Text Generation and Beyond using Reinforcement Learning	Cho, Woon Sang
2022	Neurosymbolic Machine Learning for Reasoning	Yang, Kaiyu
2017	Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding	Ma, Tengyu
2016	Optimal and Adaptive Online Learning	Luo, Haipeng
2018	Optimization of Mutual Information in Learning: Explorations in Science	Strouse, Daniel
2022	Overcoming Sampling and Exploration Challenges in Deep Reinforcement Learning	Simmons-Edler, Riley
2022	Photonic neural networks for ultrafast neural information processing	Peng, Hsuan-Tung
2021	Practical Algorithms for Latent Variable Models	Gundersen, Gregory
2018	Privacy-Preserving Machine Learning via Data Compression & Differential Privacy	Chanyaswad, Thee
2023	Real-time kinetic profile reconstruction and Adaptive ELM Control on the DIII-D and KSTAR Tokamaks	Shousha, Ricardo
2020	Regret-Minimizing Algorithms Beyond Classical Optimization and Control	Zhang, Cyril

Showing results 28 to 47 of 64 < previous next >