Fisher Scoring for crossed factor Linear Mixed Models. (arXiv:2102.05103v1 [stat.ME]) http://arxiv.org/abs/2102.05103
Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection. (arXiv:2102.05131v1 [cs.LG]) http://arxiv.org/abs/2102.05131
Regularization Strategies for Quantile Regression. (arXiv:2102.05135v1 [stat.ML]) http://arxiv.org/abs/2102.05135
Nonstochastic Bandits with Infinitely Many Experts. (arXiv:2102.05164v1 [cs.LG]) http://arxiv.org/abs/2102.05164
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm. (arXiv:2102.05198v1 [stat.ML]) http://arxiv.org/abs/2102.05198
Attentive Gaussian processes for probabilistic time-series generation. (arXiv:2102.05208v1 [cs.LG]) http://arxiv.org/abs/2102.05208
Task-Optimal Exploration in Linear Dynamical Systems. (arXiv:2102.05214v1 [cs.LG]) http://arxiv.org/abs/2102.05214
Concentrated Document Topic Model. (arXiv:2102.04449v1 [stat.ML]) http://arxiv.org/abs/2102.04449
Discrepancy Bounds for a Class of Negatively Dependent Random Points Including Latin Hypercube Samples. (arXiv:2102.04451v1 [math.ST]) http://arxiv.org/abs/2102.04451
Learning-augmented count-min sketches via Bayesian nonparametrics. (arXiv:2102.04462v1 [stat.ML]) http://arxiv.org/abs/2102.04462
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning. (arXiv:2102.04487v1 [cs.LG]) http://arxiv.org/abs/2102.04487
Neglecting uncertainty can lead to failing stormwater infrastructures. (arXiv:2102.04496v1 [stat.AP]) http://arxiv.org/abs/2102.04496
Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games. (arXiv:2102.04540v1 [cs.LG]) http://arxiv.org/abs/2102.04540
Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing. (arXiv:2102.04543v1 [math.ST]) http://arxiv.org/abs/2102.04543
A Bayesian spatio-temporal nowcasting model for public health decision-making and surveillance. (arXiv:2102.04544v1 [stat.AP]) http://arxiv.org/abs/2102.04544
A New Framework for Variance-Reduced Hamiltonian Monte Carlo. (arXiv:2102.04613v1 [cs.LG]) http://arxiv.org/abs/2102.04613
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity. (arXiv:2102.04635v1 [cs.LG]) http://arxiv.org/abs/2102.04635
Robust Single-step Adversarial Training with Regularizer. (arXiv:2102.03381v1 [cs.LG]) http://arxiv.org/abs/2102.03381
Online Statistical Inference for Gradient-free Stochastic Optimization. (arXiv:2102.03389v1 [math.ST]) http://arxiv.org/abs/2102.03389
Projection Robust Wasserstein Barycenter. (arXiv:2102.03390v1 [cs.LG]) http://arxiv.org/abs/2102.03390
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