Methods › General › Hyperparameter Search › Random Search › Papers, page 3
Random Search
Papers archive 2025-07-28
archive papers tagged: 256 · with a code link: 89 · where Syntology ran a sample: 19 (17 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (19 of 256 tagged: 17 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument)
Page 3 of 3: papers 201 to 256 of 256, newest first by the archive's date (ties by slug), in archive order.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
-
Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning 6 Nov 2019 · 1 repository · arXiv:1911.02522
-
Policy Learning for Malaria Control 20 Oct 2019 · 2 repositories · arXiv:1910.08926
-
Fully Parallel Hyperparameter Search: Reshaped Space-Filling 18 Oct 2019 · 0 repositories · arXiv:1910.08406
-
Derivative-Free Optimization of Neural Networks using Local Search 15 Oct 2019 · 1 repository
-
Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation 1 Oct 2019 · 1 repository · arXiv:1910.06717
-
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning 27 Sep 2019 · 0 repositories · arXiv:1909.12552
-
Error Analysis of Elitist Randomized Search Heuristics 3 Sep 2019 · 0 repositories · arXiv:1909.00894
-
MANAS: Multi-Agent Neural Architecture Search 3 Sep 2019 · 0 repositories · arXiv:1909.01051
-
Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems 14 Aug 2019 · 1 repository · arXiv:1908.05287
-
Large-scale traffic signal control using machine learning: some traffic flow considerations 7 Aug 2019 · 0 repositories · arXiv:1908.02673
-
A View on Deep Reinforcement Learning in System Optimization 4 Aug 2019 · 0 repositories · arXiv:1908.01275
-
Hyperparameter Optimisation with Early Termination of Poor Performers 19 Jul 2019 · 0 repositories · arXiv:1907.08651
-
FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control 1 Jul 2019 · 0 repositories · arXiv:1907.00526
-
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation 21 Jun 2019 · 0 repositories · arXiv:1906.09255
-
Symbolic regression by uniform random global search 18 Jun 2019 · 1 repository · arXiv:1906.07848
-
Derivative-Free Global Optimization Algorithms: Bayesian Method and Lipschitzian Approaches 19 Apr 2019 · 0 repositories · arXiv:1904.09365
-
Understanding Neural Architecture Search Techniques 31 Mar 2019 · 0 repositories · arXiv:1904.00438
-
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search 26 Mar 2019 · 1 repository · arXiv:1903.11059
-
Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines 25 Feb 2019 · 0 repositories · arXiv:1903.02521
-
Bayes Optimal Early Stopping Policies for Black-Box Optimization 21 Feb 2019 · 0 repositories · arXiv:1902.08285
-
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelines 21 Feb 2019 · 1 repository · arXiv:1903.00405
-
Random Search and Reproducibility for Neural Architecture Search 20 Feb 2019 · 4 repositories · arXiv:1902.07638Syntology 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified (of 7 harvested samples) · 1 pointer-only (licence)
-
Learnable Embedding Space for Efficient Neural Architecture Compression 1 Feb 2019 · 2 repositories · arXiv:1902.00383Syntology community repositories only · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
-
Universal Rules for Fooling Deep Neural Networks based Text Classification 22 Jan 2019 · 0 repositories · arXiv:1901.07132
-
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization 2 Jan 2019 · 1 repository · arXiv:1901.00276
-
Simple random search of static linear policies is competitive for reinforcement learning 1 Dec 2018 · 1 repository
-
Learning Multiple Defaults for Machine Learning Algorithms 23 Nov 2018 · 0 repositories · arXiv:1811.09409
-
Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems 18 Nov 2018 · 0 repositories · arXiv:1811.07315
-
Learning data augmentation policies using augmented random search 12 Nov 2018 · 0 repositories · arXiv:1811.04768
-
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction 9 Nov 2018 · 0 repositories · arXiv:1811.03760
-
Graph HyperNetworks for Neural Architecture Search 12 Oct 2018 · 2 repositories · arXiv:1810.05749Syntology 3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
-
Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters 6 Sep 2018 · 0 repositories · arXiv:1809.01774
-
Did you take the pill? - Detecting Personal Intake of Medicine from Twitter 3 Aug 2018 · 0 repositories · arXiv:1808.02082
-
Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search 18 May 2018 · 2 repositories · arXiv:1805.07440
-
#phramacovigilance - Exploring Deep Learning Techniques for Identifying Mentions of Medication Intake from Twitter 16 May 2018 · 0 repositories · arXiv:1805.06375
-
An LP-based hyperparameter optimization model for language modeling 29 Mar 2018 · 0 repositories · arXiv:1803.10927
-
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter 21 Mar 2018 · 0 repositories · arXiv:1803.07718
-
Simple random search provides a competitive approach to reinforcement learning 19 Mar 2018 · 26 repositories · arXiv:1803.07055Syntology community repositories only · 13 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified (of 15 harvested samples) · 3 pointer-only (licence)
-
Continuous-fidelity Bayesian Optimization with Knowledge Gradient 1 Jan 2018 · 0 repositories
-
A Flexible Approach to Automated RNN Architecture Generation 20 Dec 2017 · 0 repositories · arXiv:1712.07316
-
Hyperparameters Optimization in Deep Convolutional Neural Network / Bayesian Approach with Gaussian Process Prior 19 Dec 2017 · 0 repositories · arXiv:1712.07233
-
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks 6 Dec 2017 · 0 repositories · arXiv:1712.02446
-
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization 19 Aug 2017 · 0 repositories · arXiv:1708.05897
-
Critical Hyper-Parameters: No Random, No Cry 10 Jun 2017 · 0 repositories · arXiv:1706.03200
-
Open Loop Hyperparameter Optimization and Determinantal Point Processes 6 Jun 2017 · 0 repositories · arXiv:1706.01566
-
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space 6 Jun 2017 · 0 repositories · arXiv:1706.01825
-
Hyperparameter Optimization: A Spectral Approach 2 Jun 2017 · 1 repository · arXiv:1706.00764Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
-
Diffusion geometry unravels the emergence of functional clusters in collective phenomena 24 Apr 2017 · 0 repositories · arXiv:1704.07068
-
Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm 20 Mar 2017 · 0 repositories · arXiv:1703.06925
-
Drift Analysis and Evolutionary Algorithms Revisited 10 Aug 2016 · 0 repositories · arXiv:1608.03226
-
Efficient Coarse-To-Fine PatchMatch for Large Displacement Optical Flow 1 Jun 2016 · 1 repository
-
apsis - Framework for Automated Optimization of Machine Learning Hyper Parameters 10 Mar 2015 · 1 repository · arXiv:1503.02946
-
A Critical Reassessment of Evolutionary Algorithms on the cryptanalysis of the simplified data encryption standard algorithm 8 Jul 2014 · 0 repositories · arXiv:1407.1993
-
Kaggle LSHTC4 Winning Solution 3 May 2014 · 0 repositories · arXiv:1405.0546
-
State Transition Algorithm 30 May 2012 · 0 repositories · arXiv:1205.6548
-
Algorithms for Hyper-Parameter Optimization 1 Dec 2011 · 0 repositories