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Issue Date	Title	Author(s)
2020	Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare	AKMANDOR, AYTEN OZGE
2022	Advances in Data-Driven Modeling and Sensing for High-Dimensional Nonlinear Systems	Otto, Samuel Epstein
2013	Applications of Machine Learning to Location Data	Kapicioglu, Berk
2019	Bayesian latent structure discovery for large-scale neural recordings	wu, anqi
2018	Combinatorial Inference for Large-Scale Data Analysis	Lu, Junwei
2016	Extracting Cognition out of Images for the Purpose of Autonomous Driving	Chen, Chenyi
2022	Generating invariant representations with cortex-inspired models of unsupervised learning	Luther, Kyle
2012	Hierarchical Bayesian Modeling: Efficient Inference and Applications	Wang, Chong
2017	Integrating Exponential Dispersion Models to Latent Structures	Basbug, Mehmet Emin
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
2021	Learning intuitive physics: a computational investigation	Piloto, Luis Rolando
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
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
2021	Multi-Source Text Generation and Beyond using Reinforcement Learning	Cho, Woon Sang

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