Breaking the T 2/3 Barrier for Sequential Calibration

arXiv:2406.13668 · cs.LG, cs.DS, stat.ML · Submitted 2024-06-19 · Read on arXiv

cs.LG, cs.DS, stat.ML

Submitted: 2024-06-19

Updated: 2026-09-16

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Calibration — 139× in this paper · explained in 7 episodes
• Neural Information Processing Systems — 6× in this paper
• Sign Preservation with Reuse — 3× in this paper
• Anticoncentration — 2× in this paper · explained in 1 episode
• In International Conference on Machine Learning — 2× in this paper
• Verification — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptive Strategy — 1× in this paper · explained in 1 episode
• Agnostic Learning — 1× in this paper · explained in 1 episode
• Loss Function — 1× in this paper · explained in 2 episodes
• Regret — 1× in this paper · explained in 3 episodes
• Sample Complexity — 1× in this paper · explained in 15 episodes

Sources

• Moment Multicalibration for Uncertainty Estimation
• Sample Complexity of Uniform Convergence for Multicalibration

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks