3 citations · 5 across the 4 of their papers we have counts for
4 papers
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box
Ryan Giordano, Martin Ingram, Tamara Broderick
Automatic differentiation variational inference (ADVI) offers fast and easy-to-use posterior approximation in multiple modern probabilistic programming languages. However, its stoc…
Scaling multi-species occupancy models to large citizen science datasets
Martin Ingram, Damjan Vukcevic, Nick Golding
Citizen science datasets can be very large and promise to improve species distribution modelling, but detection is imperfect, risking bias when fitting models. In particular, obser…
Space-Time VON CRAMM: Evaluating Decision-Making in Tennis with Variational generatiON of Complete Resolution Arcs via Mixture Modeling
Stephanie Kovalchik, Martin Ingram, Kokum Weeratunga +1
Sports tracking data are the high-resolution spatiotemporal observations of a competitive event. The growing collection of these data in professional sport allows us to address a f…
Gaussian Process Priors for Dynamic Paired Comparison Modelling
Martin Ingram
Dynamic paired comparison models, such as Elo and Glicko, are frequently used for sports prediction and ranking players or teams. We present an alternative dynamic paired compariso…