24 citations · 33 across the 4 of their papers we have counts for
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stat.ML2021★ 6 cited
Dynamic Causal Bayesian Optimization
Virginia Aglietti, Neil Dhir, Javier González +1
This paper studies the problem of performing a sequence of optimal interventions in a causal dynamical system where both the target variable of interest and the inputs evolve over…
stat.ML2019★ 2 cited
Boltzmann Exploration Expectation-Maximisation
Mathias Edman, Neil Dhir
We present a general method for fitting finite mixture models (FMM). Learning in a mixture model consists of finding the most likely cluster assignment for each data-point, as well…
stat.ML2018
Coregionalised Locomotion Envelopes - A Qualitative Approach
Neil Dhir, Houman Dallali, Mo Rastgaar
'Sharing of statistical strength' is a phrase often employed in machine learning and signal processing. In sensor networks, for example, missing signals from certain sensors may be…