arXiv Statistics @arxiv_stats@qoto.org

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrt{T})$ Regret https://arxiv.org/abs/2405.19380 #stat.ML #eess.SY #cs.LG #cs.SY

Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data https://arxiv.org/abs/2405.19463 #stat.ML #econ.EM #math.OC #cs.LG

Online Nonparametric Supervised Learning for Massive Data https://arxiv.org/abs/2405.19486 #stat.ML #cs.LG

Comparison of Point Process Learning and its special case Takacs-Fiksel estimation https://arxiv.org/abs/2405.19523 #stat.ME #math.ST #stat.ML #stat.TH

Canonical Correlation Analysis as Reduced Rank Regression in High Dimensions https://arxiv.org/abs/2405.19539 #stat.ME

Convergence Bounds for Sequential Monte Carlo on Multimodal Distributions using Soft Decomposition https://arxiv.org/abs/2405.19553 #math.ST #math.PR #stat.ML #stat.TH #cs.LG

Factor Augmented Tensor-on-Tensor Neural Networks https://arxiv.org/abs/2405.19610 #stat.ML #stat.ME #cs.LG

Inference in semiparametric formation models for directed networks https://arxiv.org/abs/2405.19637 #stat.ME #math.ST #stat.TH

Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data https://arxiv.org/abs/2405.19666 #stat.ME #stat.AP

Large Margin Discriminative Loss for Classification https://arxiv.org/abs/2405.18499 #stat.ML #cs.LG

Covariance Operator Estimation via Adaptive Thresholding https://arxiv.org/abs/2405.18562 #math.ST #math.PR #stat.TH

A Margin-based Multiclass Generalization Bound via Geometric Complexity https://arxiv.org/abs/2405.18590 #stat.ML #cs.LG

Causal inference in the closed-loop: marginal structural models for sequential excursion effects https://arxiv.org/abs/2405.18597 #stat.ME #stat.AP

From Conformal Predictions to Confidence Regions https://arxiv.org/abs/2405.18601 #stat.ML #stat.ME #cs.LG

Rejection via Learning Density Ratios https://arxiv.org/abs/2405.18686 #stat.ML #cs.LG

Adaptive and Efficient Learning with Blockwise Missing and Semi-Supervised Data https://arxiv.org/abs/2405.18722 #stat.ME

Federated Q-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost https://arxiv.org/abs/2405.18795 #stat.ML #cs.LG

CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration https://arxiv.org/abs/2405.18828 #math.ST #stat.ML #stat.TH

Do Finetti: On Causal Effects for Exchangeable Data https://arxiv.org/abs/2405.18836 #stat.ME #cs.LG

Hamiltonian Mechanics of Feature Learning: Bottleneck Structure in Leaky ResNets https://arxiv.org/abs/2405.17573 #stat.ML #cs.AI #cs.LG