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Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts
Felix Drinkall, Stefan Zohren and Janet Pierrehumbert
2022
First Hitting Time Guarantees for Nonlinear Time Series Models
Julian Huang and Jan-Peter Calliess
2021
Neural Policy Learning of Interpretable Trading Strategies using Inductive Prior Knowledge
Fabian Krause and Jan-Peter Calliess
Componentwise Hölder Inference for Robust Learning-Based MPC
Jan-Peter Calliess
Bayesian Topic Regression for Causal Inference
Maximilian Ahrens and Jan-Peter Calliess
Sentiment correlation in financial news networks and associated market movements
Jan-Peter Calliess, Stefan Zohren and Xiaowen Dong
Online learning constrained model predictive control based on double prediction
Recurrent Neural Network Structures for Learning Control Valve Behaviour
Steve Roberts and Jan-Peter Calliess
Extracting Economic Signals from Central Bank Speeches
Maximilian Ahrens
Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint
Xingyue Pu and Xiaowen Dong
Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model
Steve Roberts
2020
MLRG Deep Curvature
DYNOTEARS: Structure Learning from Time-Series Data