Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods Paper • 2502.01384 • Published Feb 3 • 1
LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection Paper • 2510.26510 • Published Oct 30 • 2
LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection Paper • 2510.26510 • Published Oct 30 • 2
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level Paper • 2411.03562 • Published Nov 5, 2024 • 69
From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation Paper • 2510.07624 • Published Oct 8 • 7
From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation Paper • 2510.07624 • Published Oct 8 • 7
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Paper • 2406.10327 • Published Jun 14, 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities Paper • 2407.11676 • Published Jul 16, 2024
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification Paper • 2502.15637 • Published Feb 21 • 3