Education
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression
Kernel ridge regression (KRR) is a central tool in machine learning due to its ability to provide a flexible and efficient framework for capturing intricate patterns within data.
QA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content Joรฃo Monteiro,3, Pierre-Andrรฉ Noรซl
Consequently, evaluating models on test splits that might have leaked into the training set is prone to misleading conclusions.
The Implicit Bias of Adam on Separable Data
Adam has become one of the most favored optimizers in deep learning problems.
Communication-Efficient Federated Group Distributionally Robust Optimization
In contrast to CV aR, KL is a softer regularizer to promote smoother and more stable learning.
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
Reward allocation, also known as the credit assignment problem, has been an important topic in economics, engineering, and machine learning.
Efficient multi-prompt evaluation of LLMs Felipe Maia Polo
Most popular benchmarks for comparing LLMs rely on a limited set of prompt templates, which may not fully capture the LLMs' abilities and can affect the
