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Theory

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Papers

Mandarin nasal place assimilation revisited: an acoustic study INTERSPEECH 2022
SepIt: Approaching a Single Channel Speech Separation Bound INTERSPEECH 2022
Recovering shared structure from multiple networks with unknown edge distributions JMLR 2022
Universal Approximation in Dropout Neural Networks JMLR 2022
MurTree: Optimal Decision Trees via Dynamic Programming and Search JMLR 2022
Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent JMLR 2022
Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis JMLR 2022
DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python JMLR 2022
Inherent Tradeoffs in Learning Fair Representations JMLR 2022
Are All Layers Created Equal? JMLR 2022
Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits JMLR 2022
Posterior Asymptotics for Boosted Hierarchical Dirichlet Process Mixtures JMLR 2022
CD-split and HPD-split: Efficient Conformal Regions in High Dimensions JMLR 2022
Generalized Ambiguity Decomposition for Ranking Ensemble Learning JMLR 2022
When Hardness of Approximation Meets Hardness of Learning JMLR 2022
Total Stability of SVMs and Localized SVMs JMLR 2022
An Error Analysis of Generative Adversarial Networks for Learning Distributions JMLR 2022
Darts: User-Friendly Modern Machine Learning for Time Series JMLR 2022
Foolish Crowds Support Benign Overfitting JMLR 2022
Recovery and Generalization in Over-Realized Dictionary Learning JMLR 2022
A Perturbation-Based Kernel Approximation Framework JMLR 2022
Deep Limits and a Cut-Off Phenomenon for Neural Networks JMLR 2022
Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression JMLR 2022
Universal Approximation Theorems for Differentiable Geometric Deep Learning JMLR 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning JMLR 2022