On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel. (arXiv:2203.07411v1 [cs.LG]) http://arxiv.org/abs/2203.07411
Invariance in Policy Optimisation and Partial Identifiability in Reward Learning. (arXiv:2203.07475v1 [cs.LG]) http://arxiv.org/abs/2203.07475
Don't fear the unlabelled: safe deep semi-supervised learning via simple debiaising. (arXiv:2203.07512v1 [stat.ML]) http://arxiv.org/abs/2203.07512
UEFA EURO 2020: a "pure game of chance"?. (arXiv:2203.07531v1 [stat.AP]) http://arxiv.org/abs/2203.07531
The TAP free energy for high-dimensional linear regression. (arXiv:2203.07539v1 [math.PR]) http://arxiv.org/abs/2203.07539
Efficient and Optimal Fixed-Time Regret with Two Experts. (arXiv:2203.07577v1 [cs.LG]) http://arxiv.org/abs/2203.07577
Accelerating Stochastic Probabilistic Inference. (arXiv:2203.07585v1 [cs.LG]) http://arxiv.org/abs/2203.07585
Some Notes on the Similarity of Priority Vectors Derived by the Eigenvalue Method and the Geometric Mean Method. (arXiv:2203.06221v1 [math.ST]) http://arxiv.org/abs/2203.06221
Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds. (arXiv:2203.06222v1 [eess.SP]) http://arxiv.org/abs/2203.06222
High-dimensional Generalized Additive Mixed Model with Longitudinal Data. (arXiv:2203.06225v1 [stat.ME]) http://arxiv.org/abs/2203.06225
Sampling Bias Correction for Supervised Machine Learning: A Bayesian Inference Approach with Practical Applications. (arXiv:2203.06239v1 [stat.ML]) http://arxiv.org/abs/2203.06239
Fast and flexible inference approach for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations. (arXiv:2203.06256v1 [stat.ME]) http://arxiv.org/abs/2203.06256
Synthetic Controls in Action. (arXiv:2203.06279v1 [stat.ME]) http://arxiv.org/abs/2203.06279
Instance-Dependent Regret Analysis of Kernelized Bandits. (arXiv:2203.06297v1 [cs.LG]) http://arxiv.org/abs/2203.06297
Latin Hypercubes and Space-filling Designs. (arXiv:2203.06334v1 [stat.ME]) http://arxiv.org/abs/2203.06334
Doubly Coupled Designs for Computer Experiments with both Qualitative and Quantitative Factors. (arXiv:2203.06335v1 [stat.ME]) http://arxiv.org/abs/2203.06335
A New and Flexible Design Construction for Orthogonal Arrays for Modern Applications. (arXiv:2203.06336v1 [stat.ME]) http://arxiv.org/abs/2203.06336
Deep Learning for the Benes Filter. (arXiv:2203.05561v1 [stat.ML]) http://arxiv.org/abs/2203.05561
Vecchia Likelihood Approximation for Accurate and Fast Inference in Intractable Spatial Extremes Models. (arXiv:2203.05626v1 [stat.ME]) http://arxiv.org/abs/2203.05626
Koopman Methods for Estimation of Animal Motions over Unknown, Regularly Embedded Submanifolds. (arXiv:2203.05646v1 [stat.ML]) http://arxiv.org/abs/2203.05646
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