A Phylogenetic Model of the Evolution of Discrete Matrices for the Joint Inference of Lexical and Phonological Language Histories. (arXiv:2206.12473v1 [q-bio.PE]) http://arxiv.org/abs/2206.12473
Sparse precision matrix estimation in phenotypic trait evolution models. (arXiv:2206.12483v1 [stat.ME]) http://arxiv.org/abs/2206.12483
Causal Inference for Complex Continuous-Time Longitudinal Studies. (arXiv:2206.12525v1 [stat.ME]) http://arxiv.org/abs/2206.12525
Learning the Ranking of Causal Effects with Confounded Data. (arXiv:2206.12532v1 [stat.ML]) http://arxiv.org/abs/2206.12532
A gated group sequential design for seamless Phase II/III trial with subpopulation selection. (arXiv:2206.12536v1 [stat.AP]) http://arxiv.org/abs/2206.12536
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel. (arXiv:2206.12543v1 [stat.ML]) http://arxiv.org/abs/2206.12543
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels. (arXiv:2206.12569v1 [stat.ML]) http://arxiv.org/abs/2206.12569
Mitigating sampling bias in risk-based active learning via an EM algorithm. (arXiv:2206.12598v1 [cs.LG]) http://arxiv.org/abs/2206.12598
Approximations for Standard Normal Distribution Function and Its Invertible. (arXiv:2206.12601v1 [stat.CO]) http://arxiv.org/abs/2206.12601
Affinity-Aware Graph Networks. (arXiv:2206.11941v1 [cs.LG]) http://arxiv.org/abs/2206.11941
High-dimensional Variable Screening via Conditional Martingale Difference Divergence. (arXiv:2206.11944v1 [stat.ME]) http://arxiv.org/abs/2206.11944
Power analyses for stepped wedge designs with multivariate continuous outcomes. (arXiv:2206.11978v1 [stat.ME]) http://arxiv.org/abs/2206.11978
On making optimal transport robust to all outliers. (arXiv:2206.11988v1 [stat.ML]) http://arxiv.org/abs/2206.11988
Detecting Correlated Gaussian Databases. (arXiv:2206.12011v1 [cs.IT]) http://arxiv.org/abs/2206.12011
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems. (arXiv:2206.12020v1 [cs.LG]) http://arxiv.org/abs/2206.12020
How many labelers do you have? A closer look at gold-standard labels. (arXiv:2206.12041v1 [math.ST]) http://arxiv.org/abs/2206.12041
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings. (arXiv:2206.12081v1 [cs.LG]) http://arxiv.org/abs/2206.12081
Functional Partial Membership Models. (arXiv:2206.12084v1 [stat.ME]) http://arxiv.org/abs/2206.12084
Sequential adaptive design for emulating costly computer codes. (arXiv:2206.12113v1 [stat.ME]) http://arxiv.org/abs/2206.12113
Neural Implicit Manifold Learning for Topology-Aware Generative Modelling. (arXiv:2206.11267v1 [stat.ML]) http://arxiv.org/abs/2206.11267
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