arXiv Statistics @arxiv_stats@qoto.org

Deep Sufficient Representation Learning via Mutual Information. (arXiv:2207.10772v1 [stat.ML]) http://arxiv.org/abs/2207.10772

Data-Driven Stochastic AC-OPF using Gaussian Processes. (arXiv:2207.10781v1 [stat.ML]) http://arxiv.org/abs/2207.10781

Delayed Feedback in Generalised Linear Bandits Revisited. (arXiv:2207.10786v1 [cs.LG]) http://arxiv.org/abs/2207.10786

Multiple Robust Learning for Recommendation. (arXiv:2207.10796v1 [cs.IR]) http://arxiv.org/abs/2207.10796

College Spread of COVID-19 in Ohio. (arXiv:2207.10799v1 [stat.AP]) http://arxiv.org/abs/2207.10799

ASR Error Detection via Audio-Transcript entailment. (arXiv:2207.10849v1 [cs.CL]) http://arxiv.org/abs/2207.10849

Graph-Based Tests for Multivariate Covariate Balance Under Multi-Valued Treatments. (arXiv:2207.10855v1 [stat.ME]) http://arxiv.org/abs/2207.10855

An Integer GARCH model for a Poisson process with time varying zero-inflation. (arXiv:2207.10114v1 [stat.AP]) http://arxiv.org/abs/2207.10114

Machine learning and geospatial methods for large-scale mining data. (arXiv:2207.10138v1 [stat.AP]) http://arxiv.org/abs/2207.10138

Limiting distributions of the likelihood ratio test statistics for independence of normal random vectors. (arXiv:2207.10191v1 [math.ST]) http://arxiv.org/abs/2207.10191

The Forecast Trap. (arXiv:2207.10193v1 [stat.AP]) http://arxiv.org/abs/2207.10193

Provably tuning the ElasticNet across instances. (arXiv:2207.10199v1 [cs.LG]) http://arxiv.org/abs/2207.10199

The tropical geometry of causal inference for extremes. (arXiv:2207.10227v1 [math.ST]) http://arxiv.org/abs/2207.10227

On minimax density estimation via measure transport. (arXiv:2207.10231v1 [math.ST]) http://arxiv.org/abs/2207.10231

Fixed-domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget. (arXiv:2207.10239v1 [math.ST]) http://arxiv.org/abs/2207.10239

Efficient inference and identifiability analysis for differential equation models with random parameters. (arXiv:2207.10267v1 [stat.ME]) http://arxiv.org/abs/2207.10267

Switching One-Versus-the-Rest Loss to Increase the Margin of Logits for Adversarial Robustness. (arXiv:2207.10283v1 [cs.LG]) http://arxiv.org/abs/2207.10283

Approximation Power of Deep Neural Networks: an explanatory mathematical survey. (arXiv:2207.09511v1 [cs.LG]) http://arxiv.org/abs/2207.09511

Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse. (arXiv:2207.09535v1 [cs.LG]) http://arxiv.org/abs/2207.09535

A Normal Test for Independence via Generalized Mutual Information. (arXiv:2207.09541v1 [math.ST]) http://arxiv.org/abs/2207.09541