Kernelized Diffusion maps. (arXiv:2302.06757v1 [stat.ML]) http://arxiv.org/abs/2302.06757
Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise. (arXiv:2302.06763v1 [cs.LG]) http://arxiv.org/abs/2302.06763
A Projection Approach to Local Regression and Clustering with Variable-Dimension Covariates. (arXiv:2302.06764v1 [stat.ME]) http://arxiv.org/abs/2302.06764
A Framework for Mediation Analysis with Massive Data. (arXiv:2302.06768v1 [stat.CO]) http://arxiv.org/abs/2302.06768
De-confounding causal inference using latent multiple-mediator pathways. (arXiv:2302.05513v1 [stat.ME]) http://arxiv.org/abs/2302.05513
Achieving acceleration despite very noisy gradients. (arXiv:2302.05515v1 [stat.ML]) http://arxiv.org/abs/2302.05515
Cyclic and Randomized Stepsizes Invoke Heavier Tails in SGD. (arXiv:2302.05516v1 [stat.ML]) http://arxiv.org/abs/2302.05516
Robust Knowledge Transfer in Tiered Reinforcement Learning. (arXiv:2302.05534v1 [cs.LG]) http://arxiv.org/abs/2302.05534
Balancing Approach for Causal Inference at Scale. (arXiv:2302.05549v1 [stat.ME]) http://arxiv.org/abs/2302.05549
Algorithmically Effective Differentially Private Synthetic Data. (arXiv:2302.05552v1 [cs.DS]) http://arxiv.org/abs/2302.05552
Optimal Sampling Design Under Logistical Constraints with Mixed Integer Programming. (arXiv:2302.05553v1 [stat.ME]) http://arxiv.org/abs/2302.05553
Higher-Order Allan Variance for Atomic Clocks of Arbitrary Order. (arXiv:2302.05556v1 [math.PR]) http://arxiv.org/abs/2302.05556
Windowed Fourier Analysis for Signal Processing on Graph Bundles. (arXiv:2302.05592v1 [eess.SP]) http://arxiv.org/abs/2302.05592
Communication and Storage Efficient Federated Split Learning. (arXiv:2302.05599v1 [cs.IT]) http://arxiv.org/abs/2302.05599
Information Theoretic Lower Bounds for Information Theoretic Upper Bounds. (arXiv:2302.04925v1 [cs.LG]) http://arxiv.org/abs/2302.04925
Efficient Propagation of Uncertainty via Reordering Monte Carlo Samples. (arXiv:2302.04945v1 [cs.LG]) http://arxiv.org/abs/2302.04945
Gaussian Process-Gated Hierarchical Mixtures of Experts. (arXiv:2302.04947v1 [cs.LG]) http://arxiv.org/abs/2302.04947
The Monge Gap: A Regularizer to Learn All Transport Maps. (arXiv:2302.04953v1 [cs.LG]) http://arxiv.org/abs/2302.04953
Using Echo State Networks to Inform Physical Models for Fire Front Propagation. (arXiv:2302.04960v1 [stat.ME]) http://arxiv.org/abs/2302.04960
Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal. (arXiv:2302.04963v1 [cs.LG]) http://arxiv.org/abs/2302.04963
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