Show newer

Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback. (arXiv:2310.11550v1 [cs.LG]) arxiv.org/abs/2310.11550

Properties and Deviations of Random Sums of Densely Dependent Random Variables. (arXiv:2310.11554v1 [math.ST]) arxiv.org/abs/2310.11554

Group sequential two-stage preference designs. (arXiv:2310.11603v1 [stat.ME]) arxiv.org/abs/2310.11603

Enhancing modified treatment policy effect estimation with weighted energy distance. (arXiv:2310.11620v1 [stat.ME]) arxiv.org/abs/2310.11620

Unbiased Estimation of Structured Prediction Error. (arXiv:2310.10740v1 [stat.ME]) arxiv.org/abs/2310.10740

Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder. (arXiv:2310.10745v1 [cs.LG]) arxiv.org/abs/2310.10745

Statistical Barriers to Affine-equivariant Estimation. (arXiv:2310.10758v1 [math.ST]) arxiv.org/abs/2310.10758

Towards reducing hallucination in extracting information from financial reports using Large Language Models. (arXiv:2310.10760v1 [cs.CL]) arxiv.org/abs/2310.10760

Simulation Based Composite Likelihood. (arXiv:2310.10761v1 [stat.ME]) arxiv.org/abs/2310.10761

Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models. (arXiv:2310.10767v1 [cs.LG]) arxiv.org/abs/2310.10767

Implementing a Metropolis sampler on decomposable graphs using a variety of ways to represent the graph. (arXiv:2310.10774v1 [stat.CO]) arxiv.org/abs/2310.10774

Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs. (arXiv:2310.10791v1 [cs.LG]) arxiv.org/abs/2310.10791

Regularization properties of adversarially-trained linear regression. (arXiv:2310.10807v1 [stat.ML]) arxiv.org/abs/2310.10807

On the impact of insurance on households susceptible to random proportional losses: An analysis of poverty trapping. (arXiv:2310.09295v1 [q-fin.RM]) arxiv.org/abs/2310.09295

Topological Data Analysis in smart manufacturing processes -- A survey on the state of the art. (arXiv:2310.09319v1 [cs.LG]) arxiv.org/abs/2310.09319

An Improved Adaptive Algorithm for Competitive Group Testing. (arXiv:2310.09320v1 [math.ST]) arxiv.org/abs/2310.09320

Statistical guarantees for stochastic Metropolis-Hastings. (arXiv:2310.09335v1 [stat.ML]) arxiv.org/abs/2310.09335

A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data. (arXiv:2310.09345v1 [stat.ME]) arxiv.org/abs/2310.09345

Modeling Missing at Random Neuropsychological Test Scores Using a Mixture of Binomial Product Experts. (arXiv:2310.09384v1 [stat.ME]) arxiv.org/abs/2310.09384

Show older
Qoto Mastodon

QOTO: Question Others to Teach Ourselves
An inclusive, Academic Freedom, instance
All cultures welcome.
Hate speech and harassment strictly forbidden.