Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 3 of 3 for “"network embeddings"”.
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Sequential decision making with feature-linear models
… learning setting with features given by a neural network. The thesis is split into two parts accordingly. In part I, we introduce a new algorithm for the optimisation of continuous functions with a known number of derivatives under noisy bandit feedback. The algorithm, Partitioned GP-UCB, combines …
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Essays on Martech: Learning to Design, Deliver, and Diffuse Interventions
… by fine-tuning a deep 3D convolutional neural network on video-level engagement data. M-score is then defined as pixel-level engagement-weighted advertising intensity of a video. The algorithm is constructed and evaluated with influencer video ads on TikTok. Causal effects of video ads on …
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The resurgence of structure in deep neural networks
Machine learning with deep neural networks ("deep learning") allows for learning complex features directly from raw input data, completely eliminating hand-crafted, "hard-coded" feature extraction from the learning pipeline. This has lead to state-of-the-art performance being achieved across …