6 citations · 12 across the 14 of their papers we have counts for
3 papers · 1 filter
Scalable Meta-Learning via Mixed-Mode Differentiation
Iurii Kemaev, Dan A Calian, Luisa M Zintgraf +2
Gradient-based bilevel optimisation is a powerful technique with applications in hyperparameter optimisation, task adaptation, algorithm discovery, meta-learning more broadly, and…
Wasserstein Policy Optimization
David Pfau, Ian Davies, Diana Borsa +3
We introduce Wasserstein Policy Optimization (WPO), an actor-critic algorithm for reinforcement learning in continuous action spaces. WPO can be derived as an approximation to Wass…
General Uncertainty Estimation with Delta Variances
Simon Schmitt, John Shawe-Taylor, Hado van Hasselt
Decision makers may suffer from uncertainty induced by limited data. This may be mitigated by accounting for epistemic uncertainty, which is however challenging to estimate efficie…