arXiv Statistics @arxiv_stats@qoto.org

Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations. (arXiv:2205.15368v1 [stat.ML]) http://arxiv.org/abs/2205.15368

Deep Bootstrap for Bayesian Inference. (arXiv:2205.15374v1 [stat.CO]) http://arxiv.org/abs/2205.15374

Minimax Optimal Online Imitation Learning via Replay Estimation. (arXiv:2205.15397v1 [cs.LG]) http://arxiv.org/abs/2205.15397

Profile Monitoring via Eigenvector Perturbation. (arXiv:2205.15422v1 [stat.ME]) http://arxiv.org/abs/2205.15422

Holistic Generalized Linear Models. (arXiv:2205.15447v1 [stat.ML]) http://arxiv.org/abs/2205.15447

Posterior and Computational Uncertainty in Gaussian Processes. (arXiv:2205.15449v1 [cs.LG]) http://arxiv.org/abs/2205.15449

Critic Sequential Monte Carlo. (arXiv:2205.15460v1 [stat.ML]) http://arxiv.org/abs/2205.15460

Derandomized knockoffs: leveraging e-values for false discovery rate control. (arXiv:2205.15461v1 [stat.ME]) http://arxiv.org/abs/2205.15461

Few-Shot Diffusion Models. (arXiv:2205.15463v1 [cs.CV]) http://arxiv.org/abs/2205.15463

Multi-Dimensional self exciting NBD process and Default portfolios. (arXiv:2205.14146v1 [q-fin.RM]) http://arxiv.org/abs/2205.14146

Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. (arXiv:2205.14173v1 [cs.LG]) http://arxiv.org/abs/2205.14173

Private and Byzantine-Proof Cooperative Decision-Making. (arXiv:2205.14174v1 [stat.ML]) http://arxiv.org/abs/2205.14174

Optimizing Objective Functions from Trained ReLU Neural Networks via Sampling. (arXiv:2205.14189v1 [math.OC]) http://arxiv.org/abs/2205.14189

Targeted Adaptive Design. (arXiv:2205.14208v1 [cs.LG]) http://arxiv.org/abs/2205.14208

MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. (arXiv:2205.14210v1 [cs.LG]) http://arxiv.org/abs/2205.14210

KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal. (arXiv:2205.14211v1 [cs.LG]) http://arxiv.org/abs/2205.14211

Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging. (arXiv:2205.14220v1 [stat.ME]) http://arxiv.org/abs/2205.14220

Will Bilevel Optimizers Benefit from Loops. (arXiv:2205.14224v1 [cs.LG]) http://arxiv.org/abs/2205.14224

Provably Sample-Efficient RL with Side Information about Latent Dynamics. (arXiv:2205.14237v1 [cs.LG]) http://arxiv.org/abs/2205.14237

Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification. (arXiv:2205.13565v1 [cs.LG]) http://arxiv.org/abs/2205.13565