Everything you care about in one place
Follow feeds: blogs, news, RSS and more. An effortless way to read and digest content of your choice.
Get Feederjmlr.org
JMLR
Get the latest updates from JMLR directly as they happen.
Follow now 36 followers
Latest posts
Last updated 22 days ago
Implicit vs Unfolded Graph Neural Networks
22 days ago
It has been observed that message-passing graph neural networks (GNN) sometimes struggle...
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability
22 days ago
Causal abstraction provides a theoretical foundation for mechanistic interpretability, the field concerned...
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
22 days ago
In this paper, we study certifying the robustness of ReLU neural networks...
Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test
22 days ago
Integral probability metrics (IPMs) constitute a general class of nonparametric two-sample tests...
Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers
22 days ago
Deep linear networks have been extensively studied, as they provide simplified models...
Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis
22 days ago
It has been observed that applying pruning-at-initialization methods and training the sparse...
On Inference for the Support Vector Machine
22 days ago
The linear support vector machine has a parametrised decision boundary. The paper...
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences
22 days ago
The Laplace approximation is a popular method for constructing a Gaussian approximation...
Causal Effect of Functional Treatment
22 days ago
We study the causal effect with a functional treatment variable, where practical...
Uplift Model Evaluation with Ordinal Dominance Graphs
22 days ago
Uplift modelling is a subfield of causal learning that focuses on ranking...
High-Dimensional L2-Boosting: Rate of Convergence
22 days ago
Boosting is one of the most significant developments in machine learning. This...
Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares
22 days ago
The affine rank minimization problem is a well-known approach to matrix recovery...