Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
95 | Giorgio Valentini |
An experimental bias-variance analysis of SVM ensembles based on resampling techniques. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Syst. Man Cybern. Part B ![In: IEEE Trans. Syst. Man Cybern. Part B 35(6), pp. 1252-1271, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
91 | Meihong Zhu, Yong Shi 0001, Aihua Li, Peng Zhang 0001 |
A Bias-Variance Analysis of Multiple Criteria Linear Programming Classification Ensembles. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Web Intelligence/IAT Workshops ![In: Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, 9-12 December 2008, Sydney, NSW, Australia, pp. 447-450, 2008, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
79 | Peter van der Putten, Maarten van Someren |
A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 57(1-2), pp. 177-195, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
bias-variance decomposition, real world applications, overfitting |
78 | Jakob Vogdrup Hansen, Tom Heskes |
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of Distributions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR ![In: 15th International Conference on Pattern Recognition, ICPR'00, Barcelona, Spain, September 3-8, 2000., pp. 2207-2210, 2000, IEEE Computer Society, 0-7695-0750-6. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
75 | Peng Zhang 0001, Xingquan Zhu 0001, Yong Shi 0001 |
Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCS (2) ![In: Computational Science - ICCS 2009, 9th International Conference, Baton Rouge, LA, USA, May 25-27, 2009, Proceedings, Part II, pp. 524-533, 2009, Springer, 978-3-642-01972-2. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Bias variance decomposition, RMCLP, Ensemble |
73 | Soummya Kar, José M. F. Moura |
Distributed Consensus Algorithms in Sensor Networks With Imperfect Communication: Link Failures and Channel Noise. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Signal Process. ![In: IEEE Trans. Signal Process. 57(1), pp. 355-369, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
64 | Giorgio Valentini, Thomas G. Dietterich |
Bias-Variance Analysis and Ensembles of SVM. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Multiple Classifier Systems ![In: Multiple Classifier Systems, Third International Workshop, MCS 2002, Cagliari, Italy, June 24-26, 2002, Proceedings, pp. 222-231, 2002, Springer, 3-540-43818-1. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
63 | M. Arthur Munson, Rich Caruana |
On Feature Selection, Bias-Variance, and Bagging. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML/PKDD (2) ![In: Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II, pp. 144-159, 2009, Springer, 978-3-642-04173-0. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
60 | V. Vijaya Saradhi, Harish Karnick |
On the Stability and Bias-Variance Analysis of Kernel Matrix Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Canadian AI ![In: Advances in Artificial Intelligence, 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007, Proceedings, pp. 441-451, 2007, Springer, 978-3-540-72664-7. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Kernel matrix learning, bias-variance, stability, bootstrap, error estimation, overfitting |
48 | Remco R. Bouckaert |
Practical Bias Variance Decomposition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Australasian Conference on Artificial Intelligence ![In: AI 2008: Advances in Artificial Intelligence, 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 1-5, 2008. Proceedings, pp. 247-257, 2008, Springer, 978-3-540-89377-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
47 | Giorgio Valentini |
Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias?Variance Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Multiple Classifier Systems ![In: Multiple Classifier Systems, 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings, pp. 263-272, 2004, Springer, 3-540-22144-1. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
42 | Zhipeng Xie, Wynne Hsu, Mong-Li Lee |
Mode Committee: A Novel Ensemble Method by Clustering and Local Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICTAI ![In: 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 15-17 November 2004, Boca Raton, FL, USA, pp. 628-633, 2004, IEEE Computer Society, 0-7695-2236-X. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
38 | Raymond S. Smith, Terry Windeatt |
The Bias Variance Trade-Off in Bootstrapped Error Correcting Output Code Ensembles. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MCS ![In: Multiple Classifier Systems, 8th International Workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009. Proceedings, pp. 1-10, 2009, Springer, 978-3-642-02325-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
38 | Jennifer Neville, David D. Jensen |
A bias/variance decomposition for models using collective inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 73(1), pp. 87-106, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Evaluation, Statistical relational learning, Collective inference |
38 | Lean Yu, Kin Keung Lai, Shouyang Wang, Wei Huang 0006 |
A Bias-Variance-Complexity Trade-Off Framework for Complex System Modeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCSA (1) ![In: Computational Science and Its Applications - ICCSA 2006, International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part I, pp. 518-527, 2006, Springer, 3-540-34070-X. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
37 | Francesco Gagliardi 0001 |
The Necessity of Machine Learning and Epistemology in the Development of Categorization Theories: A Case Study in Prototype-Exemplar Debate. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AI*IA ![In: AI*IA 2009: Emergent Perspectives in Artificial Intelligence, XIth International Conference of the Italian Association for Artificial Intelligence, Reggio Emilia, Italy, December 9-12, 2009, Proceedings, pp. 182-191, 2009, Springer, 978-3-642-10290-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Categorization Theories, Bias-Variance Dilemma, Machine Learning, Instance-Based Learning, Epistemology, Cognitive Psychology |
37 | Jérôme Boulanger, Charles Kervrann, Patrick Bouthemy |
Space-Time Adaptation for Patch-Based Image Sequence Restoration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 29(6), pp. 1096-1102, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Image sequence restoration, bias-variance trade-off, denoising, nonlinear filtering, nonparametric estimation |
37 | Silvia Riedel, Bogdan Gabrys |
Combination of Multi Level Forecasts. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. VLSI Signal Process. ![In: J. VLSI Signal Process. 49(2), pp. 265-280, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
multi level forecasting, forecast combination, bias variance Bayes error decomposition, revenue management |
37 | Pierre Geurts, Damien Ernst, Louis Wehenkel |
Extremely randomized trees. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 63(1), pp. 3-42, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Decision and regression trees, Cut-point randomization, Bias/variance tradeoff, Kernel-based models, Supervised learning, Ensemble methods |
37 | Yuk Lai Suen, Prem Melville, Raymond J. Mooney |
Combining Bias and Variance Reduction Techniques for Regression Trees. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML ![In: Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings, pp. 741-749, 2005, Springer, 3-540-29243-8. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
37 | Giorgio Valentini |
An Application of Low Bias Bagged SVMs to the Classification of Heterogeneous Malignant Tissues. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WIRN ![In: Neural Nets, 14th Italian Workshop on Neural Nets, WIRN VIETRI 2003, Vietri sul Mare, Italy, June 4-7, 2003, Revised Papers, pp. 316-321, 2003, Springer, 3-540-20227-7. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
35 | David M. J. Tax, Klaus-Robert Müller |
Feature Extraction for One-Class Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN ![In: Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003, Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings, pp. 342-349, 2003, Springer, 3-540-40408-2. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
31 | Prasertsak Pungprasertying, Ratthachat Chatpatanasiri, Boonserm Kijsirikul |
Migration Analysis: An Alternative Approach for Analyzing Learning Performance. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR (2) ![In: 18th International Conference on Pattern Recognition (ICPR 2006), 20-24 August 2006, Hong Kong, China, pp. 837-840, 2006, IEEE Computer Society, 0-7695-2521-0. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
27 | Jennifer Neville, David D. Jensen |
Bias/Variance Analysis for Relational Domains. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ILP ![In: Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers, pp. 27-28, 2007, Springer, 978-3-540-78468-5. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
27 | Xiaojin Shi, Roberto Manduchi |
Invariant Operators, Small Samples, and the Bias-Variance Dilemma. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CVPR (2) ![In: 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June - 2 July 2004, Washington, DC, USA, pp. 528-534, 2004, IEEE Computer Society, 0-7695-2158-4. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
27 | Mark Zlochin, Yoram Baram |
The Bias-Variance Dilemma of the Monte Carlo Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN ![In: Artificial Neural Networks - ICANN 2001, International Conference Vienna, Austria, August 21-25, 2001 Proceedings, pp. 141-147, 2001, Springer, 3-540-42486-5. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
27 | Stijn Vanderlooy, Eyke Hüllermeier |
A critical analysis of variants of the AUC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 72(3), pp. 247-262, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Area under the ROC curve, Ranking performance, Bias-variance analysis, AUC variants, AUC maximization, ROC analysis |
27 | Charles Kervrann, Jérôme Boulanger |
Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Comput. Vis. ![In: Int. J. Comput. Vis. 79(1), pp. 45-69, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Exemplar-based methods, Bias-variance trade-off, Bio-imaging, Estimation, Detection, Energy minimization, Restoration, Denoising, Nonlinear filtering |
27 | Yves Grandvalet |
Bagging Equalizes Influence. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 55(3), pp. 251-270, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
leverage, bias/variance, bagging, influence |
27 | Yi Zhang 0001 |
Using bayesian priors to combine classifiers for adaptive filtering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGIR ![In: SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Sheffield, UK, July 25-29, 2004, pp. 345-352, 2004, ACM, 1-58113-881-4. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
bias variance, information filtering, logistic regression |
27 | Deepak K. Agarwal |
Shrinkage estimator generalizations of Proximal Support Vector Machines. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada, pp. 173-182, 2002, ACM, 1-58113-567-X. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
bias-variance tradeoff, classification, correlation, regression, kernel, Bayesian models |
27 | S. V. Narasimhan, M. Harish, A. R. Haripriya, Nandini Basumallick |
Discrete cosine harmonic wavelet transform and its application to signal compression and subband spectral estimation using modified group delay. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Signal Image Video Process. ![In: Signal Image Video Process. 3(1), pp. 85-99, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
DCT harmonic wavelet transform, Signal and image compression, Subband spectral estimation and modified group delay |
27 | Steve Lawrence, C. Lee Giles |
Overfitting and Neural Networks: Conjugate Gradient and Backpropagation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN (1) ![In: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 1, pp. 114-119, 2000, IEEE Computer Society, 0-7695-0619-4. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
21 | Hui Li 0025, Juan Chen, Ying Tao, David L. Groep, Lex Wolters |
Improving a Local Learning Technique for QueueWait Time Predictions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CCGRID ![In: Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 16-19 May 2006, Singapore, pp. 335-342, 2006, IEEE Computer Society, 0-7695-2585-7. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
21 | Juan José Rodríguez, Carlos J. Alonso, Oscar J. Prieto |
Bias and Variance of Rotation-Based Ensembles. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWANN ![In: Computational Intelligence and Bioinspired Systems, 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings, pp. 779-786, 2005, Springer, 3-540-26208-3. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
21 | Giorgio Fumera, Fabio Roli, Alessandra Serrau |
Dynamics of Variance Reduction in Bagging and Other Techniques Based on Randomisation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Multiple Classifier Systems ![In: Multiple Classifier Systems, 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings, pp. 316-325, 2005, Springer, 3-540-26306-3. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
21 | João Gama 0001 |
Functional Trees. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 55(3), pp. 219-250, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
multivariate decision trees, supervised learning, multiple models |
21 | Grigoris I. Karakoulas, Ruslan Salakhutdinov |
Semi-Supervised Mixture-of-Experts Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDM ![In: Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK, pp. 138-145, 2004, IEEE Computer Society, 0-7695-2142-8. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
21 | Andrew Skabar |
Augmenting Supervised Neural Classifier Training Using a Corpus of Unlabeled Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KI ![In: KI 2002: Advances in Artificial Intelligence, 25th Annual German Conference on AI, KI 2002, Aachen, Germany, September 16-20, 2002, Proceedings, pp. 174-185, 2002, Springer, 3-540-44185-9. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
21 | Mehmet Yavuz, Jeffrey A. Fessler |
New Statistical Models for Randoms-Precorrected PET Scans. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IPMI ![In: Information Processing in Medical Imaging, 15th International Conference, IPMI'97, Poultney, Vermont, USA, June 9-13, 1997, Proceedings, pp. 190-203, 1997, Springer, 3-540-63046-5. The full citation details ...](Pics/full.jpeg) |
1997 |
DBLP DOI BibTeX RDF |
|
20 | Evren Asma, Richard M. Leahy |
Mean and covariance properties of dynamic PET reconstructions from list-mode data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Medical Imaging ![In: IEEE Trans. Medical Imaging 25(1), pp. 42-54, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
17 | Ossi Räisä, Antti Honkela |
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2402.03985, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Yurou Chen, Fengyi Zhang, Zhiyong Liu 0001 |
Adaptive bias-variance trade-off in advantage estimator for actor-critic algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Networks ![In: Neural Networks 169, pp. 764-777, January 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Sanath Kumar Krishnamurthy, Adrienne M. Propp, Susan Athey |
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2476-2484, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
17 | Henry Lam, Haofeng Zhang |
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Mach. Learn. Res. ![In: J. Mach. Learn. Res. 24, pp. 85:1-85:58, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
17 | Shayan Doroudi, Seyed Ali Rastegar |
The Bias-Variance Tradeoff in Cognitive Science. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Cogn. Sci. ![In: Cogn. Sci. 47(1), January 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George Em Karniadakis, Kenji Kawaguchi |
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2311.15283, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Falaah Arif Khan, Julia Stoyanovich |
The Unbearable Weight of Massive Privilege: Revisiting Bias-Variance Trade-Offs in the Context of Fair Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2302.08704, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Sebastian G. Gruber, Florian Büttner |
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2310.05833, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Fangyuan Wang, Ming Hao, Yuhai Shi, Bo Xu 0002 |
ApproBiVT: Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff Guided Early Stopping and Checkpoint Averaging. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2308.02870, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Gautam Kamath 0001, Argyris Mouzakis, Matthew Regehr, Vikrant Singhal, Thomas Steinke 0002, Jonathan R. Ullman |
A Bias-Variance-Privacy Trilemma for Statistical Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2301.13334, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang |
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2310.18765, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli |
Interpretable Linear Dimensionality Reduction based on Bias-Variance Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2303.14734, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro |
Multi-Task Bias-Variance Trade-Off Through Functional Constraints. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICASSP ![In: IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, pp. 1-5, 2023, IEEE, 978-1-7281-6327-7. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Jonas Lindenberger, Stefan Schuster, Oliver Lang, Alexander Haberl, Clemens Staudinger, Theresa Roland, Mario Huemer |
Bias, Variance, and Threshold Level of the Least Squares Pitch Estimator with Windowed Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACSSC ![In: 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29 - Nov. 1, 2023, pp. 854-859, 2023, IEEE, 979-8-3503-2574-4. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Ruoxuan Xiong, Alex Chin, Sean Taylor |
Bias-Variance Tradeoffs for Designing Simultaneous Temporal Experiments. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDPD ![In: The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA, pp. 115-131, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
17 | Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang |
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023., 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
17 | Sebastian Gruber 0001, Florian Buettner 0001 |
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain., pp. 11331-11354, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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17 | Fangyuan Wang, Ming Hao, Yuhai Shi, Bo Xu |
Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICONIP (7) ![In: Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part VII, pp. 174-185, 2023, Springer, 978-981-99-8125-0. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Neha Gupta, Jamie Smith, Ben Adlam, Zelda E. Mariet |
Ensembles of Classifiers: a Bias-Variance Perspective. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Trans. Mach. Learn. Res. ![In: Trans. Mach. Learn. Res. 2022, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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17 | Guocheng Liao, Yu Su 0013, Juba Ziani, Adam Wierman, Jianwei Huang 0001 |
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGMETRICS Perform. Evaluation Rev. ![In: SIGMETRICS Perform. Evaluation Rev. 49(2), pp. 6-8, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Peng Zhang 0002, Hui Gao, Zeting Hu, Meng Yang, Dawei Song 0001, Jun Wang 0012, Yuexian Hou, Bin Hu 0001 |
A bias-variance evaluation framework for information retrieval systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Inf. Process. Manag. ![In: Inf. Process. Manag. 59(1), pp. 102747, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Tomoya Murata, Taiji Suzuki |
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2202.06083, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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17 | Bruno Loureiro, Cédric Gerbelot, Maria Refinetti, Gabriele Sicuro, Florent Krzakala |
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2201.13383, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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17 | Danny Wood, Tingting Mu, Gavin Brown 0001 |
Bias-Variance Decompositions for Margin Losses. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2204.12155, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Max Winkelmann, Constantin Vasconi, Steffen Müller 0002 |
Transfer Importance Sampling - How Testing Automated Vehicles in Multiple Test Setups Helps With the Bias-Variance Tradeoff. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2204.07619, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Risto Vuorio, Jacob Beck, Shimon Whiteson, Jakob N. Foerster, Gregory Farquhar |
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2209.11303, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Sebastian G. Gruber, Florian Buettner 0001 |
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2210.12256, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Neha Gupta, Jamie Smith, Ben Adlam, Zelda Mariet |
Ensembling over Classifiers: a Bias-Variance Perspective. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2206.10566, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Jason W. Rocks, Pankaj Mehta |
Bias-variance decomposition of overparameterized regression with random linear features. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2203.05443, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro |
Multi-task Bias-Variance Trade-off Through Functional Constraints. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2210.15573, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco |
Multiclass learning with margin: exponential rates with no bias-variance trade-off. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2202.01773, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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17 | Ben Adlam, Neha Gupta, Zelda Mariet, Jamie Smith |
Understanding the bias-variance tradeoff of Bregman divergences. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2202.04167, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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17 | Claudia V. Roberts, Ehtsham Elahi, Ashok Chandrashekar |
On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity Movie Recommendation Explanation Tasks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2206.04784, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Shinho Lee, Wookhyun Jung, Wonrak Lee, Hyung-Geun Oh, Eui Tak Kim |
Android malware dataset construction methodology to minimize bias-variance tradeoff. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICT Express ![In: ICT Express 8(3), pp. 444-462, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Tahra L. Eissa, Joshua I. Gold, Kresimir Josic, Zachary P. Kilpatrick |
Suboptimal human inference can invert the bias-variance trade-off for decisions with asymmetric evidence. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PLoS Comput. Biol. ![In: PLoS Comput. Biol. 18(7), 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Yao Zhou, Jun Wu 0019, Haixun Wang, Jingrui He |
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIKM ![In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, pp. 2753-2762, 2022, ACM, 978-1-4503-9236-5. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Yiding Feng, Ronen Gradwohl, Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov |
Bias-Variance Games. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EC ![In: EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11 - 15, 2022, pp. 328-329, 2022, ACM, 978-1-4503-9150-4. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
17 | Tomoya Murata, Taiji Suzuki |
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022., 2022, 9781713871088. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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17 | Max Winkelmann, Constantin Vasconi, Steffen Müller 0002 |
Transfer Importance Sampling - How Testing Automated Vehicles in Multiple Test Setups Helps With the Bias-Variance Tradeoff. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ITSC ![In: 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022, Macau, China, October 8-12, 2022, pp. 26-31, 2022, IEEE, 978-1-6654-6880-0. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
17 | Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco |
Multiclass learning with margin: exponential rates with no bias-variance trade-off. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA., pp. 22260-22269, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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17 | Bruno Loureiro, Cédric Gerbelot, Maria Refinetti, Gabriele Sicuro, Florent Krzakala |
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA., pp. 14283-14314, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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17 | Anna Korba, François Portier |
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event., pp. 11503-11527, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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17 | Danny Wood, Tingting Mu, Gavin Brown 0001 |
Bias-Variance Decompositions for Margin Losses. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event., pp. 1975-2001, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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17 | Licong Lin, Edgar Dobriban |
What Causes the Test Error? Going Beyond Bias-Variance via ANOVA. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Mach. Learn. Res. ![In: J. Mach. Learn. Res. 22, pp. 155:1-155:82, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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17 | Takumi Aotani, Taisuke Kobayashi, Kenji Sugimoto |
Meta-Optimization of Bias-Variance Trade-Off in Stochastic Model Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 9, pp. 148783-148799, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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17 | Thiago Salles, Leonardo Rocha 0001, Marcos André Gonçalves |
A bias-variance analysis of state-of-the-art random forest text classifiers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Adv. Data Anal. Classif. ![In: Adv. Data Anal. Classif. 15(2), pp. 379-405, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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17 | Ting-Han Fan, Peter J. Ramadge |
Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2110.02421, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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17 | Helong Zhou, Liangchen Song, Jiajie Chen, Ye Zhou, Guoli Wang, Junsong Yuan, Qian Zhang 0009 |
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2102.00650, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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17 | Tomoya Murata, Taiji Suzuki |
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2102.03198, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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17 | Yehuda Dar, Vidya Muthukumar, Richard G. Baraniuk |
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2109.02355, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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17 | Guocheng Liao, Yu Su 0013, Juba Ziani, Adam Wierman, Jianwei Huang 0001 |
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2105.14262, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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17 | Yaodong Yu, Zitong Yang, Edgar Dobriban, Jacob Steinhardt, Yi Ma 0001 |
Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2103.09947, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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17 | Alexander Shekhovtsov |
Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2110.03549, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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17 | |
A Mathematical Foundation for Robust Machine Learning based on Bias-Variance Trade-off. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2106.05522, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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17 | Jing Gao |
Bias-variance decomposition of absolute errors for diagnosing regression models of continuous data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Patterns ![In: Patterns 2(8), pp. 100309, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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17 | Xinjie Lan, Bin Zhu, Charles Boncelet, Kenneth E. Barner |
Beyond the Bias Variance Trade-Off: A Mutual Information Trade-Off in Deep Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLSP ![In: 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), Gold Coast, Australia, October 25-28, 2021, pp. 1-6, 2021, IEEE, 978-1-7281-6338-3. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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17 | Guocheng Liao, Yu Su 0013, Juba Ziani, Adam Wierman, Jianwei Huang 0001 |
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EC ![In: EC '21: The 22nd ACM Conference on Economics and Computation, Budapest, Hungary, July 18-23, 2021, pp. 689, 2021, ACM, 978-1-4503-8554-1. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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17 | Alexander Shekhovtsov |
Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GCPR ![In: Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 - October 1, 2021, Proceedings, pp. 127-141, 2021, Springer, 978-3-030-92658-8. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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17 | Yifan Hu, Xin Chen, Niao He |
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual., pp. 22119-22131, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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