Automatic differentiation in machine learning: A survey by Baydin, AG, Pearlmutter, BA, Radul, AA, Siskind, JM

“…Journal of Machine Learning Research …”

Marginalising over stationary kernels with Bayesian quadrature by Hamid, S, Schulze, S, Osborne, MA, Roberts, S

“…Journal of Machine Learning Research…”

Online metric algorithms with untrusted predictions by Antoniadis, A, Coester, C, Eliáš, M, Polak, A, Simon, B

“…Journal of Machine Learning Research…”

On the choice of interpolation scheme for neural CDEs by Morrill, J, Kidger, P, Yang, L, Lyons, T

“…Journal of Machine Learning Research…”

Learning robust policies for uncertain parametric Markov decision processes by Rickard, L, Abate, A, Margellos, K

“…Journal of Machine Learning Research…”

Exploration of the (non-)asymptotic bias and variance of stochastic gradient Langevin dynamics by Vollmer, S, Zygalakis, K, Teh, Y

“…Journal of Machine Learning Research…”

Unsupervised detection of contextualized embedding bias with application to ideology by Hofmann, V, Pierrehumbert, J, Schütze, H

“…Journal of Machine Learning Research…”

Kernels for sequentially ordered data by Király, FJ, Oberhauser, H

“…Journal of Machine Learning Research…”

Risk and regret of hierarchical Bayesian learners by Huggins, Jonathan H., Tenenbaum, Joshua B

“…Journal of Machine Learning Research/Microtome Publishing…”
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