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Bayesian-robust Algorithms Analysis with Applications in Mechanism Design
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Methods for Nonlinear and Noisy Optimization
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Understanding Self-Tracked Data from Bounded Situational Contexts
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Decentralized Persistent Shape Formation in Large-Scale Homogeneous Robotic Swarms
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Physics-Informed Data-Driven Prediction and Design in Advanced Manufacturing Processes
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Deep Reinforcement Learning based Wireless Resource Management
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Vision-Based Automation for Accelerated Structural Interpretation in Atomic-Resolution Microscopy
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Methods for Stochastic, Noisy, and Derivative-Free Optimization
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Ensembling and Data Selection for Neural Language Models, and Analysis of F-measure
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Empowering Teachers to CT-ify the Science Classroom: Moving from Educational Technology to Computational Thinking
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Measuring Model-Based Learning of Complex Systems with Multiple Data Streams
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Machine Learning-based Health-related Behavior Detection using Wearables
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Socio-technical Systems for Identifying Latent Knowledge Gaps
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Utilizing Literature to Characterize Materials from Images
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Integrating Heterogeneous Traffic Data Sources with High Definition Maps in Autonomous Driving
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Principled Analysis of High-Dimensional Data: How to Identify Signals while under the Curse of Dimensionality
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Computational Practice and Perspectives in the Arts
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Enabling Robust and Secure Edge-to-Cloud Communications
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(In)visible Labor: Patterns of Articulation Work in Support of Addressing the Rise and Racial Gap in Maternal Mortality in the US
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Approximate Optimality of Simple Mechanisms
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