The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond

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

depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers

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

The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise

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

Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick

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

Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables

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

Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions

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

Regularizing Hard Examples Improves Adversarial Robustness

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

Random ReLU Neural Networks as Non-Gaussian Processes

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

Riemannian Bilevel Optimization

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

Supervised Learning with Evolving Tasks and Performance Guarantees

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

Error estimation and adaptive tuning for unregularized robust M-estimator

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

From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective

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

Locally Private Causal Inference for Randomized Experiments

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

Estimating Network-Mediated Causal Effects via Principal Components Network Regression

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

Selective Inference with Distributed Data

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

Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization

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

An Axiomatic Definition of Hierarchical Clustering

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

Test-Time Training on Video Streams

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

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback

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

A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation

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