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Poster
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Mon 18:30
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Tomography of the London Underground: a Scalable Model for Origin-Destination Data
Nicolò Colombo · Ricardo Silva · Soong Moon Kang
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Poster
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Mon 18:30
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A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent
Ben London
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Poster
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Mon 18:30
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LightGBM: A Highly Efficient Gradient Boosting Decision Tree
Guolin Ke · Qi Meng · Thomas Finley · Taifeng Wang · Wei Chen · Weidong Ma · Qiwei Ye · Tie-Yan Liu
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Poster
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Wed 18:30
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Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang · Yihe Tang · Jian Wang · Jia Deng
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Poster
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Wed 18:30
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Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks
Ahmed M. Alaa · Mihaela van der Schaar
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Poster
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Tue 18:30
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Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
Wengong Jin · Connor Coley · Regina Barzilay · Tommi Jaakkola
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Poster
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Wed 18:30
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Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications
Linus Hamilton · Frederic Koehler · Ankur Moitra
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Poster
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Tue 18:30
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Inhomogeneous Hypergraph Clustering with Applications
Pan Li · Olgica Milenkovic
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Poster
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Mon 18:30
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Hiding Images in Plain Sight: Deep Steganography
Shumeet Baluja
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Poster
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Mon 18:30
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Regularized Modal Regression with Applications in Cognitive Impairment Prediction
Xiaoqian Wang · Hong Chen · Weidong Cai · Dinggang Shen · Heng Huang
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Poster
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Wed 18:30
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DPSCREEN: Dynamic Personalized Screening
Kartik Ahuja · William Zame · Mihaela van der Schaar
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Poster
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Wed 18:30
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Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications
Qinshi Wang · Wei Chen
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