hyperparameter tuning

On the Generalizability and Predictability of Recommender Systems NeurIPS 2022 Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization AutoML 2022 PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions ICLR 2022 Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines EMNLP 2022 Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach AISTATS 2022 Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs JMLR 2022 Rethinking the Setting of Semi-supervised Learning on Graphs IJCAI 2022 Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP 2022 Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments EMNLP 2022 Second-Order Sensitivity Analysis for Bilevel Optimization AISTATS 2022 Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms NeurIPS 2022 Unrolling PALM for Sparse Semi-Blind Source Separation ICLR 2022 Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems ICML 2022 Accelerating Quadratic Optimization with Reinforcement Learning NeurIPS 2021 An Empirical Study of Bayesian Optimization: Acquisition Versus Partition JMLR 2021 Asynchronous $ε$-Greedy Bayesian Optimisation UAI 2021 AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly ICLR 2021 Automatic Design of Heuristic Algorithms for Binary Optimization Problems IJCAI 2021 Bag of Tricks for Optimizing Transformer Efficiency EMNLP 2021 Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression NeurIPS 2021 DACBench: A Benchmark Library for Dynamic Algorithm Configuration IJCAI 2021 Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers ICML 2021 Domain-Independent Dominance of Adaptive Methods CVPR 2021 Expected Validation Performance and Estimation of a Random Variable’s Maximum EMNLP 2021 Explainable Automated Graph Representation Learning with Hyperparameter Importance ICML 2021