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Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Room 307
Additive Gaussian Processes Revisited
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Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Room 307
Probabilistic ODE Solutions in Millions of Dimensions
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Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Room 307
Adaptive Gaussian Process Change Point Detection
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Tue Jul 19 10:45 AM -- 10:50 AM (PDT) @ Room 307
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
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Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 307
Fenrir: Physics-Enhanced Regression for Initial Value Problems
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Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 307
Variational nearest neighbor Gaussian process
Oral
Tue Jul 19 11:00 AM -- 11:20 AM (PDT) @ Room 307
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
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Tue Jul 19 11:20 AM -- 11:25 AM (PDT) @ Room 307
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
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Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Room 307
Bayesian Optimization under Stochastic Delayed Feedback
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Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Room 307
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 307
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 307
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 307
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation