Improvement-Focused Causal Recourse (ICR). (arXiv:2210.15709v1 [stat.ML]) http://arxiv.org/abs/2210.15709
Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs. (arXiv:2210.15755v1 [cs.LG]) http://arxiv.org/abs/2210.15755
Noise Injection Node Regularization for Robust Learning. (arXiv:2210.15764v1 [cs.LG]) http://arxiv.org/abs/2210.15764
Dual Efficient Forecasting Framework for Time Series Data. (arXiv:2210.15780v1 [stat.AP]) http://arxiv.org/abs/2210.15780
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning. (arXiv:2210.15786v1 [stat.ML]) http://arxiv.org/abs/2210.15786
Clustering High-dimensional Data via Feature Selection. (arXiv:2210.15801v1 [stat.ME]) http://arxiv.org/abs/2210.15801
Instance-Optimal Differentially Private Estimation. (arXiv:2210.15819v1 [math.ST]) http://arxiv.org/abs/2210.15819
A Constrained Spatial Autoregressive Model for Interval-valued data. (arXiv:2210.15869v1 [stat.AP]) http://arxiv.org/abs/2210.15869
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis. (arXiv:2210.15898v1 [cs.LG]) http://arxiv.org/abs/2210.15898
A super-polynomial quantum-classical separation for density modelling. (arXiv:2210.14936v1 [quant-ph]) http://arxiv.org/abs/2210.14936
Topology-Driven Goodness-of-Fit Tests in Arbitrary Dimensions. (arXiv:2210.14965v1 [stat.ME]) http://arxiv.org/abs/2210.14965
A Bayesian Spatio-Temporal Level Set Dynamic Model and Application to Fire Front Propagation. (arXiv:2210.14978v1 [stat.ME]) http://arxiv.org/abs/2210.14978
Nonparametric Copula Models for Mixed Data with Informative Missingness. (arXiv:2210.14988v1 [stat.ME]) http://arxiv.org/abs/2210.14988
High-dimensional Measurement Error Models for Lipschitz Loss. (arXiv:2210.15008v1 [stat.ME]) http://arxiv.org/abs/2210.15008
Generative modeling of the enteric nervous system employing point pattern analysis and graph construction. (arXiv:2210.15044v1 [q-bio.NC]) http://arxiv.org/abs/2210.15044
Optimal Sub-sampling to Boost Power of Kernel Sequential Change-point Detection. (arXiv:2210.15060v1 [stat.ME]) http://arxiv.org/abs/2210.15060
A Variational Inequality Model for Learning Neural Networks. (arXiv:2210.15064v1 [math.OC]) http://arxiv.org/abs/2210.15064
Bayesian Hyperbolic Multidimensional Scaling. (arXiv:2210.15081v1 [stat.ME]) http://arxiv.org/abs/2210.15081
Deep Learning is Provably Robust to Symmetric Label Noise. (arXiv:2210.15083v1 [stat.ML]) http://arxiv.org/abs/2210.15083
Statistical Inference for H\"usler-Reiss Graphical Models Through Matrix Completions. (arXiv:2210.14292v1 [stat.ME]) http://arxiv.org/abs/2210.14292
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