Statistical Learning
Efficient Combinatorial Optimization via Heat Diffusion
To overcome this challenge, diverging from conventional efforts of expanding the solver's search scope, we focus on enabling information to actively propagate to the solver through heat diffusion.
Robust Sleep Staging over Incomplete Multimodal Physiological Signals via Contrastive Imagination Qi Shen
Furthermore, the exploration of temporal context information within PSs is also a serious challenge.
Errors-in-variables Frรฉchet Regression with Low-rank Covariate Approximation
Frรฉchet regression has emerged as a promising approach for regression analysis involving non-Euclidean response variables.
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization
Previous works have implicitly studied that FL suffers from the "client-drift" problem, which is caused by the inconsistent optimum across local clients.
Max-Sliced Mutual Information
This work proposes a middle ground in the form of a scalable information-theoretic generalization of CCA, termed max-sliced mutual information (mSMI).
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model
It is crucial to quantify the uncertainty of these dynamics models when using them for planning.
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation Adam Fisch, Joshua Maynez, R. Alex Hofer Bhuwan Dhingra Amir Globerson William W. Cohen
Evaluating machine learning models requires evaluation data.