Likelihood-free Model Choice for Simulator-based Models with the Jensen--Shannon Divergence. (arXiv:2206.04110v1 [stat.ME]) http://arxiv.org/abs/2206.04110
Deep Hierarchical Planning from Pixels. (arXiv:2206.04114v1 [cs.AI]) http://arxiv.org/abs/2206.04114
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem. (arXiv:2206.04119v1 [q-bio.BM]) http://arxiv.org/abs/2206.04119
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret. (arXiv:2206.04122v1 [cs.GT]) http://arxiv.org/abs/2206.04122
Bayesian multivariate logistic regression for superiority and inferiority decision-making under treatment heterogeneity. (arXiv:2206.04133v1 [stat.ME]) http://arxiv.org/abs/2206.04133
Inference for Matched Tuples and Fully Blocked Factorial Designs. (arXiv:2206.04157v1 [econ.EM]) http://arxiv.org/abs/2206.04157
On Gradient Descent Convergence beyond the Edge of Stability. (arXiv:2206.04172v1 [cs.LG]) http://arxiv.org/abs/2206.04172
How does overparametrization affect performance on minority groups?. (arXiv:2206.03515v1 [cs.LG]) http://arxiv.org/abs/2206.03515
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. (arXiv:2206.03520v1 [stat.ML]) http://arxiv.org/abs/2206.03520
Confidentiality Protection in the 2020 US Census of Population and Housing. (arXiv:2206.03524v1 [stat.AP]) http://arxiv.org/abs/2206.03524
Decoupled Self-supervised Learning for Non-Homophilous Graphs. (arXiv:2206.03601v1 [cs.LG]) http://arxiv.org/abs/2206.03601
FedPop: A Bayesian Approach for Personalised Federated Learning. (arXiv:2206.03611v1 [cs.LG]) http://arxiv.org/abs/2206.03611
Bayesian additive regression trees for probabilistic programming. (arXiv:2206.03619v1 [stat.CO]) http://arxiv.org/abs/2206.03619
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping. (arXiv:2206.03633v1 [cs.LG]) http://arxiv.org/abs/2206.03633
Neural Bandit with Arm Group Graph. (arXiv:2206.03644v1 [cs.LG]) http://arxiv.org/abs/2206.03644
Robust self-tuning semiparametric PCA for contaminated elliptical distribution. (arXiv:2206.03662v1 [stat.ME]) http://arxiv.org/abs/2206.03662
Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials. (arXiv:2206.03688v1 [cs.LG]) http://arxiv.org/abs/2206.03688
Impossibility of Collective Intelligence. (arXiv:2206.02786v1 [cs.LG]) http://arxiv.org/abs/2206.02786
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data. (arXiv:2206.02792v1 [cs.LG]) http://arxiv.org/abs/2206.02792
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. (arXiv:2206.02829v1 [cs.LG]) http://arxiv.org/abs/2206.02829
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