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Showing results 23 to 42 of 49 < previous next >

Issue Date	Title	Author(s)
2017	Integrating Exponential Dispersion Models to Latent Structures	Basbug, Mehmet Emin
2021	Invariant Mechanisms in Transfer Learning and Causal Inference : Some Theoretical Perspectives and Algorithms.	Martinet, Guillaume Gaetan
2021	Investigation of Biological Systems at Low Temperatures using Molecular Simulation	Kozuch, Daniel Jeffrey
2022	Learning from Humans: Beyond Classical Imitation Learning	Spencer, Jonathan Cullinan
2023	Learning Language through Interactions with the Digital World	Yang, John Boda
2023	Learning Through Social Interactions and Learning to Socially Interact in Multi-Agent Learning	Madhushani, Udari
2019	Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon	Lee, Donghun
2019	Learning Visual Affordances for Robotic Manipulation	Zeng, Andy
2020	Machine learning for multi-scale molecular modeling: theories, algorithms, and applications	Zhang, Linfeng
2020	Methods for Reinforcement Learning in Clinical Decision Support	Prasad, Niranjani
2017	Multi-view Representation Learning with Applications to Functional Neuroimaging Data	Chen, Po-Hsuan
2021	Neural Network Learning: A Multiscale-Entropy and Self-Similarity Approach	Asadi, Amir Reza
2022	Overcoming Sampling and Exploration Challenges in Deep Reinforcement Learning	Simmons-Edler, Riley
2019	Part I: On The Effects of Electron-Deficient Olefins in a Ni Catalyzed Csp3–Csp3 Cross Coupling Part II: Using Machine Learning to Predict Reaction Performance and Infer Mechanism in a Pd Catalyzed C–N Coupling	Estrada, Jesus Gregorio
2021	Physics-Based and Data-Driven Methods for Structural Health Monitoring At Fine Spatial Resolution	Kumar, Vivek
2021	Primal-Dual Method for Reinforcement Learning and Markov Decision Processes	Gong, Hao
2020	Probabilistic Modeling of Structure in Science: Statistical Physics to Recommender Systems	Altosaar, Jaan
2023	Real-time kinetic profile reconstruction and Adaptive ELM Control on the DIII-D and KSTAR Tokamaks	Shousha, Ricardo
2023	Scaling Machine Learning in Practice	Suo, Daniel Can
2018	Second-Order Optimization Methods for Machine Learning	Agarwal, Naman

Showing results 23 to 42 of 49 < previous next >