arXiv Statistics @arxiv_stats@qoto.org

Understanding Self-Distillation in the Presence of Label Noise. (arXiv:2301.13304v1 [cs.LG]) http://arxiv.org/abs/2301.13304

Parameter estimation for cellular automata. (arXiv:2301.13320v1 [nlin.CG]) http://arxiv.org/abs/2301.13320

Fairness and Accuracy under Domain Generalization. (arXiv:2301.13323v1 [cs.LG]) http://arxiv.org/abs/2301.13323

A Bias-Variance-Privacy Trilemma for Statistical Estimation. (arXiv:2301.13334v1 [math.ST]) http://arxiv.org/abs/2301.13334

A cell-based population control of Monte Carlo particles for the global variance reduction for transport equations. (arXiv:2301.11922v1 [math.NA]) http://arxiv.org/abs/2301.11922

Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation. (arXiv:2301.11936v1 [quant-ph]) http://arxiv.org/abs/2301.11936

Reduced-Order Autodifferentiable Ensemble Kalman Filters. (arXiv:2301.11961v1 [stat.ML]) http://arxiv.org/abs/2301.11961

Personalised Decision-Making without Counterfactuals. (arXiv:2301.11976v1 [stat.ME]) http://arxiv.org/abs/2301.11976

Alignment with human representations supports robust few-shot learning. (arXiv:2301.11990v1 [cs.LG]) http://arxiv.org/abs/2301.11990

Minimizing Trajectory Curvature of ODE-based Generative Models. (arXiv:2301.12003v1 [cs.LG]) http://arxiv.org/abs/2301.12003

Inference for all variants of the multivariate coefficient of variation in factorial designs. (arXiv:2301.12009v1 [stat.ME]) http://arxiv.org/abs/2301.12009

Epsilon-Identifiability of Causal Quantities. (arXiv:2301.12022v1 [cs.AI]) http://arxiv.org/abs/2301.12022

G-formula for causal inference via multiple imputation. (arXiv:2301.12026v1 [stat.ME]) http://arxiv.org/abs/2301.12026

Multi-task Highly Adaptive Lasso. (arXiv:2301.12029v1 [stat.ML]) http://arxiv.org/abs/2301.12029

Locating {\gamma}-Ray Sources on the Celestial Sphere via Modal Clustering. (arXiv:2301.11332v1 [astro-ph.IM]) http://arxiv.org/abs/2301.11332

Causal Structural Learning from Time Series: A Convex Optimization Approach. (arXiv:2301.11336v1 [cs.LG]) http://arxiv.org/abs/2301.11336

Estimating Causal Effects using a Multi-task Deep Ensemble. (arXiv:2301.11351v1 [cs.LG]) http://arxiv.org/abs/2301.11351

Permutation-based Hypothesis Testing for Neural Networks. (arXiv:2301.11354v1 [stat.ME]) http://arxiv.org/abs/2301.11354

Rigid body flows for sampling molecular crystal structures. (arXiv:2301.11355v1 [cs.LG]) http://arxiv.org/abs/2301.11355

Neural networks learn to magnify areas near decision boundaries. (arXiv:2301.11375v1 [cs.LG]) http://arxiv.org/abs/2301.11375