arXiv Statistics @arxiv_stats@qoto.org

Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information. (arXiv:2102.08410v1 [cs.LG]) http://arxiv.org/abs/2102.08410

Evaluating Multi-label Classifiers with Noisy Labels. (arXiv:2102.08427v1 [cs.LG]) http://arxiv.org/abs/2102.08427

Smoothed Analysis with Adaptive Adversaries. (arXiv:2102.08446v1 [cs.LG]) http://arxiv.org/abs/2102.08446

Globally-Robust Neural Networks. (arXiv:2102.08452v1 [cs.LG]) http://arxiv.org/abs/2102.08452

Lexicographically Fair Learning: Algorithms and Generalization. (arXiv:2102.08454v1 [cs.LG]) http://arxiv.org/abs/2102.08454

Mesospheric nitric oxide model from SCIAMACHY data. (arXiv:2102.08455v1 [physics.ao-ph]) http://arxiv.org/abs/2102.08455

From Majorization to Interpolation: Distributionally Robust Learning using Kernel Smoothing. (arXiv:2102.08474v1 [cs.LG]) http://arxiv.org/abs/2102.08474

Sample variance of rounded variables. (arXiv:2102.08483v1 [math.ST]) http://arxiv.org/abs/2102.08483

Pattern Sampling for Shapelet-based Time Series Classification. (arXiv:2102.08498v1 [cs.LG]) http://arxiv.org/abs/2102.08498

Communication-Efficient Distributed Cooperative Learning with Compressed Beliefs. (arXiv:2102.07767v1 [cs.LG]) http://arxiv.org/abs/2102.07767

Posterior-Aided Regularization for Likelihood-Free Inference. (arXiv:2102.07770v1 [cs.LG]) http://arxiv.org/abs/2102.07770

Online learning of Riemannian hidden Markov models in homogeneous Hadamard spaces. (arXiv:2102.07771v1 [cs.LG]) http://arxiv.org/abs/2102.07771

Top-$k$ eXtreme Contextual Bandits with Arm Hierarchy. (arXiv:2102.07800v1 [stat.ML]) http://arxiv.org/abs/2102.07800

Efficient Learning with Arbitrary Covariate Shift. (arXiv:2102.07802v1 [cs.LG]) http://arxiv.org/abs/2102.07802

Controlling False Discovery Rates Using Null Bootstrapping. (arXiv:2102.07826v1 [stat.ME]) http://arxiv.org/abs/2102.07826

One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. (arXiv:2102.07834v1 [cs.LG]) http://arxiv.org/abs/2102.07834

Topological Graph Neural Networks. (arXiv:2102.07835v1 [cs.LG]) http://arxiv.org/abs/2102.07835

Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. (arXiv:2102.07850v1 [stat.ML]) http://arxiv.org/abs/2102.07850

Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. (arXiv:2102.07856v1 [cs.LG]) http://arxiv.org/abs/2102.07856

Contrastive latent variable modeling with application to case-control sequencing experiments. (arXiv:2102.06731v1 [stat.ME]) http://arxiv.org/abs/2102.06731