Hyperparameter Optimization: A Spectral Approach

2 June 2017

Papers citing "Hyperparameter Optimization: A Spectral Approach"

18 / 18 papers shown

Title
Training neural networks faster with minimal tuning using pre-computed lists of hyperparameters for NAdamW Sourabh Medapati Priya Kasimbeg Shankar Krishnan Naman Agarwal George E. Dahl 62 0 0 06 Mar 2025
ALT: An Automatic System for Long Tail Scenario Modeling Ya-Lin Zhang Jun Zhou Yankun Ren Yue Zhang Xinxing Yang Meng Li Qitao Shi Longfei Li 28 0 0 19 May 2023
Natural Evolution Strategy for Mixed-Integer Black-Box Optimization Koki Ikeda I. Ono 10 4 0 21 Apr 2023
A Nonstochastic Control Approach to Optimization Xinyi Chen Elad Hazan 47 5 0 19 Jan 2023
Global Optimization with Parametric Function Approximation Chong Liu Yu-Xiang Wang 36 7 0 16 Nov 2022
Superpolynomial Lower Bounds for Decision Tree Learning and Testing Caleb M. Koch Carmen Strassle Li-Yang Tan 32 8 0 12 Oct 2022
CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization Ryoki Hamano Shota Saito Masahiro Nomura Shinichi Shirakawa 12 35 0 26 May 2022
Adaptive Gradient Methods with Local Guarantees Zhou Lu Wenhan Xia Sanjeev Arora Elad Hazan ODL 27 9 0 02 Mar 2022
Properly learning decision trees in almost polynomial time Guy Blanc Jane Lange Mingda Qiao Li-Yang Tan 11 20 0 01 Sep 2021
Decision tree heuristics can fail, even in the smoothed setting Guy Blanc Jane Lange Mingda Qiao Li-Yang Tan 15 7 0 02 Jul 2021
A hyperparameter-tuning approach to automated inverse planning Kelsey Maass Aleksandr Aravkin Minsun Kim 22 3 0 14 May 2021
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice Li Yang Abdallah Shami AI4CE 20 2,032 0 30 Jul 2020
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 24 51 0 02 Jul 2019
Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity Minsu Cho C. Hegde 21 11 0 24 Apr 2019
OBOE: Collaborative Filtering for AutoML Model Selection Chengrun Yang Yuji Akimoto Dae Won Kim Madeleine Udell 21 100 0 09 Aug 2018
Beyond the Low-Degree Algorithm: Mixtures of Subcubes and Their Applications Sitan Chen Ankur Moitra 17 36 0 17 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 33 703 0 26 Feb 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,330 0 05 Nov 2016