Frequentist Guarantees of Distributed (Non)-Bayesian Inference

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

EMaP: Explainable AI with Manifold-based Perturbations

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Autoencoders in Function Space

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Distribution Estimation under the Infinity Norm

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Extending Temperature Scaling with Homogenizing Maps

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Density Estimation Using the Perceptron

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Simplex Constrained Sparse Optimization via Tail Screening

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Score-Based Diffusion Models in Function Space

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

WEFE: A Python Library for Measuring and Mitigating Bias in Word Embeddings

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Frontiers to the learning of nonparametric hidden Markov models

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Classification in the high dimensional Anisotropic mixture framework: A new take on Robust Interpolation

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Universal Online Convex Optimization Meets Second-order Bounds

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text

skglm: Improving scikit-learn for Regularized Generalized Linear Models

Subjects: “…Artificial Intelligence & Machine Learning…”
Get full text