Publications Archive

Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts

First Hitting Time Guarantees for Nonlinear Time Series Models

Neural Policy Learning of Interpretable Trading Strategies using Inductive Prior Knowledge

Componentwise Hölder Inference for Robust Learning-Based MPC

Bayesian Topic Regression for Causal Inference

Sentiment correlation in financial news networks and associated market movements

Online learning constrained model predictive control based on double prediction

Recurrent Neural Network Structures for Learning Control Valve Behaviour

Extracting Economic Signals from Central Bank Speeches

Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint

Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model

MLRG Deep Curvature

DYNOTEARS: Structure Learning from Time-Series Data