hyperparameter tuning

Parameter-Agnostic Optimization under Relaxed Smoothness AISTATS 2024 Parameter-free Clipped Gradient Descent Meets Polyak NeurIPS 2024 Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds ICML 2024 Pre-trained Gaussian Processes for Bayesian Optimization JMLR 2024 Pretrained Optimization Model for Zero-Shot Black Box Optimization NeurIPS 2024 Quantifying the Hyperparameter Sensitivity of Neural Networks for Character-level Sequence-to-Sequence Tasks EACL 2024 Robust Approximate Sampling via Stochastic Gradient Barker Dynamics AISTATS 2024 Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice CLeaR 2024 Should I try multiple optimizers when fine-tuning a pre-trained Transformer for NLP tasks? Should I tune their hyperparameters? EACL 2024 Show Your Work with Confidence: Confidence Bands for Tuning Curves NAACL 2024 Statistical Properties of Robust Satisficing ICML 2024 Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification CVPR 2024 TECHSSN at SemEval-2024 Task 1: Multilingual Analysis for Semantic Textual Relatedness using Boosted Transformer Models SemEval 2024 The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark NeurIPS 2024 The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks NeurIPS 2024 The Impact of Integration Step on Integrated Gradients EACL 2024 Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline NeurIPS 2024 Towards safe multi-task Bayesian optimization L4DC 2024 Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NeurIPS 2024 Understanding Pathologies of Deep Heteroskedastic Regression UAI 2024 WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models ACL 2024 Why Warmup the Learning Rate? Underlying Mechanisms and Improvements NeurIPS 2024 A Three-regime Model of Network Pruning ICML 2023 AutoKeras: An AutoML Library for Deep Learning JMLR 2023 Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization NeurIPS 2023