JMLR · Scour

PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark

Composite Goodness-of-fit Tests with Kernels

Curvature-based Clustering on Graphs

Scaling Data-Constrained Language Models

A Comparative Evaluation of Quantification Methods

Scaling ResNets in the Large-depth Regime

Variance-Aware Estimation of Kernel Mean Embedding

Lightning UQ Box: Uncertainty Quantification for Neural Networks

Determine the Number of States in Hidden Markov Models via Marginal Likelihood

On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations

Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings

Recursive Causal Discovery

Ontolearn---A Framework for Large-scale OWL Class Expression Learning in Python

Instability, Computational Efficiency and Statistical Accuracy

Deletion Robust Non-Monotone Submodular Maximization over Matroids

Estimation of Local Geometric Structure on Manifolds from Noisy Data

Continuously evolving rewards in an open-ended environment

Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process

Sharp Bounds for Sequential Federated Learning on Heterogeneous Data

Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy

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