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Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations. (arXiv:2205.13571v1 [cs.LG]) arxiv.org/abs/2205.13571

Efficient Approximation of Gromov-Wasserstein Distance using Importance Sparsification. (arXiv:2205.13573v1 [cs.LG]) arxiv.org/abs/2205.13573

Predictor-corrector algorithms for stochastic optimization under gradual distribution shift. (arXiv:2205.13575v1 [cs.LG]) arxiv.org/abs/2205.13575

Understanding new tasks through the lens of training data via exponential tilting. (arXiv:2205.13577v1 [cs.LG]) arxiv.org/abs/2205.13577

Evolution of beliefs in social networks. (arXiv:2205.13587v1 [cs.LG]) arxiv.org/abs/2205.13587

Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. (arXiv:2205.13589v1 [cs.LG]) arxiv.org/abs/2205.13589

Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods. (arXiv:2205.13602v1 [stat.ME]) arxiv.org/abs/2205.13602

Variable Selection for Individualized Treatment Rules with Discrete Outcomes. (arXiv:2205.13609v1 [stat.ME]) arxiv.org/abs/2205.13609

The Least Difference in Means: A Statistic for Effect Size Strength and Practical Significance. (arXiv:2205.12958v1 [stat.ME]) arxiv.org/abs/2205.12958

Uniform Generalization Bound on Time and Inverse Temperature for Gradient Descent Algorithm and its Application to Analysis of Simulated Annealing. (arXiv:2205.12959v1 [cs.LG]) arxiv.org/abs/2205.12959

Spatial Cluster-based Copula Model to Interpolate Skewed Conditional Spatial Random Field. (arXiv:2205.13024v1 [stat.ME]) arxiv.org/abs/2205.13024

Preference Dynamics Under Personalized Recommendations. (arXiv:2205.13026v1 [cs.LG]) arxiv.org/abs/2205.13026

Optimal estimation of the rough Hurst parameter in additive noise. (arXiv:2205.13035v1 [math.ST]) arxiv.org/abs/2205.13035

Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions. (arXiv:2205.13056v1 [stat.ML]) arxiv.org/abs/2205.13056

Entropy Maximization with Depth: A Variational Principle for Random Neural Networks. (arXiv:2205.13076v1 [cs.LG]) arxiv.org/abs/2205.13076

Factorized Structured Regression for Large-Scale Varying Coefficient Models. (arXiv:2205.13080v1 [stat.ML]) arxiv.org/abs/2205.13080

Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model. (arXiv:2205.13085v1 [stat.ML]) arxiv.org/abs/2205.13085

Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification. (arXiv:2205.13094v1 [cs.LG]) arxiv.org/abs/2205.13094

Releasing survey microdata with exact cluster locations and additional privacy safeguards. (arXiv:2205.12260v1 [cs.CY]) arxiv.org/abs/2205.12260

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