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1706.00764
Cited By
Hyperparameter Optimization: A Spectral Approach
2 June 2017
Elad Hazan
Adam R. Klivans
Yang Yuan
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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
64
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
12
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 Wang
36
7
0
16 Nov 2022
Superpolynomial Lower Bounds for Decision Tree Learning and Testing
Caleb M. Koch
Carmen Strassle
Li-Yang Tan
34
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
13
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
19
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
274
5,330
0
05 Nov 2016
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