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Session 1: Theme - Data Science & Quantum Technologies I; Methods & Modelling - L4

Running from 11.20-12.30 in L4

  1. Confidence sequences with informative, bounded-influence priors (Valentin Kilian, Department of Statistics)
  2. Structured linear controlled differential equations (Benjamin Walker, Mathematical Institute)
  3. Enhancing macroeconomic Agent-Based Models (ABMs) with Inverse Reinforcement Learning (Elena Lickel, Department of Computer Science)
  4. Quantum cryptography (Matthew Gray, Department of Computer Science))