Model Selection Techniques -- An Overview

22 October 2018

Papers citing "Model Selection Techniques -- An Overview"

50 / 63 papers shown

Title
Model Privacy: A Unified Framework to Understand Model Stealing Attacks and Defenses G. Wang Yuhong Yang Jie Ding 41 0 0 24 Feb 2025
MAP: Multi-Human-Value Alignment Palette Xinran Wang Qi Le A. N. Ahmed Enmao Diao Yi Zhou Nathalie Baracaldo Jie Ding Ali Anwar 24 2 0 24 Oct 2024
Behavior Matters: An Alternative Perspective on Promoting Responsible Data Science Ziwei Dong Ameya Patil Yuichi Shoda Leilani Battle Emily Wall AI4CE 30 1 0 07 Oct 2024
Online Distributional Regression Simon Hirsch Jonathan Berrisch F. Ziel 29 1 0 26 Jun 2024
Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning Dimitris Bertsimas Matthew Peroni OffRL 37 0 0 30 May 2024
Tuning parameter selection in econometrics Denis Chetverikov 26 2 0 05 May 2024
Sparse maximum likelihood estimation for regression models Min Tsao 43 0 0 14 Mar 2024
Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data Tianyu Zhang Jing Lei 13 1 0 18 Oct 2023
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective Ganghua Wang Xun Xian Jayanth Srinivasa Ashish Kundu Xuan Bi Mingyi Hong Jie Ding 34 3 0 16 Oct 2023
On optimality of Mallows model averaging Jing Peng Yang Li Yuhong Yang MoMe 27 4 0 23 Sep 2023
Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification Nadav Harel T. Routtenberg 14 2 0 22 Aug 2023
Universal and Automatic Elbow Detection for Learning the Effective Number of Components in Model Selection Problems E. Morgado Luca Martino Roberto San Millán-Castillo 31 11 0 17 Aug 2023
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey Lovre Torbarina Tin Ferkovic Lukasz Roguski Velimir Mihelčić Bruno Šarlija Z. Kraljevic 31 5 0 16 Aug 2023
Exact identification of nonlinear dynamical systems by Trimmed Lasso Shawn L. Kiser M. Guskov Marc Rébillat N. Ranc 25 1 0 03 Aug 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development Danilo Brajovic Niclas Renner Vincent Philipp Goebels Philipp Wagner Benjamin Frész M. Biller Mara Klaeb Janika Kutz Jens Neuhuettler Marco F. Huber 32 9 0 21 Jul 2023
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization Geng Li G. Wang Jie Ding 34 3 0 07 May 2023
Detecting Signs of Model Change with Continuous Model Selection Based on Descriptive Dimensionality Kenji Yamanishi So Hirai 6 2 0 23 Feb 2023
Pruning Deep Neural Networks from a Sparsity Perspective Enmao Diao G. Wang Jiawei Zhan Yuhong Yang Jie Ding Vahid Tarokh 27 30 0 11 Feb 2023
Empirical Bayes factors for common hypothesis tests F. Dudbridge 23 0 0 26 Jan 2023
To tree or not to tree? Assessing the impact of smoothing the decision boundaries Anthea Mérida Argyris Kalogeratos Mathilde Mougeot 6 0 0 07 Oct 2022
Detection and Evaluation of Clusters within Sequential Data Alexander Van Werde Albert Senen-Cerda Gianluca Kosmella J. Sanders 14 1 0 04 Oct 2022
Evaluation of Question Answering Systems: Complexity of judging a natural language Amer Farea Zhen Yang Kien Duong Nadeesha Perera F. Emmert-Streib ELM 37 3 0 10 Sep 2022
Hierarchical Bayesian data selection S. Cotter 16 0 0 05 Aug 2022
Diagnostic Tool for Out-of-Sample Model Evaluation Ludvig Hult Dave Zachariah Petre Stoica 14 1 0 22 Jun 2022
Disentangling Model Multiplicity in Deep Learning Ari Heljakka Martin Trapp Arno Solin Arno Solin 41 4 0 17 Jun 2022
From Model Selection to Model Averaging: A Comparison for Nested Linear Models Wenchao Xu Xinyu Zhang MoMe 21 4 0 24 Feb 2022
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient Max W. Shen 27 18 0 10 Feb 2022
Federated Learning Challenges and Opportunities: An Outlook Jie Ding Eric W. Tramel Anit Kumar Sahu Shuang Wu Salman Avestimehr Tao Zhang FedML 41 56 0 01 Feb 2022
Some asymptotic results for time series model selection William Kengne 25 0 0 31 Jan 2022
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study A. Cortiella K. Park Alireza Doostan 19 15 0 29 Jan 2022
Unifying Epidemic Models with Mixtures Arnab Sarker Ali Jadbabaie Devavrat Shah 11 0 0 07 Jan 2022
Transferability Estimation using Bhattacharyya Class Separability Michal Pándy A. Agostinelli J. Uijlings V. Ferrari Thomas Mensink 19 57 0 24 Nov 2021
Efficient and Consistent Data-Driven Model Selection for Time Series Jean‐Marc Bardet Kamila Kare William Kengne 28 4 0 19 Oct 2021
Assisted Learning for Organizations with Limited Imbalanced Data Cheng Chen Jiaying Zhou Jie Ding Yi Zhou FedML 21 3 0 20 Sep 2021
Targeted Cross-Validation Jiawei Zhang Jie Ding Yuhong Yang 21 2 0 14 Sep 2021
Learning the hypotheses space from data through a U-curve algorithm Diego Marcondes Adilson Simonis Junior Barrera 39 1 0 08 Sep 2021
Regression model selection via log-likelihood ratio and constrained minimum criterion Min Tsao 29 1 0 18 Jul 2021
The Rate of Convergence of Variation-Constrained Deep Neural Networks Gen Li Jie Ding 25 6 0 22 Jun 2021
Interval Privacy: A Framework for Privacy-Preserving Data Collection Jie Ding Bangjun Ding 21 4 0 17 Jun 2021
A hybrid ensemble method with negative correlation learning for regression Yun Bai Ganglin Tian Yanfei Kang Suling Jia 18 3 0 06 Apr 2021
Fourier Series-Based Approximation of Time-Varying Parameters in Ordinary Differential Equations Anna Fitzpatrick Molly Folino Andrea Arnold 26 0 0 21 Jan 2021
Minimum Excess Risk in Bayesian Learning Aolin Xu Maxim Raginsky 36 38 0 29 Dec 2020
On Statistical Efficiency in Learning Jie Ding Enmao Diao Jiawei Zhou Vahid Tarokh 33 8 0 24 Dec 2020
ASCII: ASsisted Classification with Ignorance Interchange Jiaying Zhou Xun Xian Na Li Jie Ding 9 0 0 21 Oct 2020
It's the Best Only When It Fits You Most: Finding Related Models for Serving Based on Dynamic Locality Sensitive Hashing Lixi Zhou Zijie Wang A. Das Jia Zou 21 2 0 13 Oct 2020
Bayesian model selection for unsupervised image deconvolution with structured Gaussian priors Benjamin Harroué J. Giovannelli Marcelo Pereyra UQCV UD 8 2 0 13 Oct 2020
The Efficacy of $L_1$ Regularization in Two-Layer Neural Networks Gen Li Yuantao Gu Jie Ding 8 6 0 02 Oct 2020
Regularised Text Logistic Regression: Key Word Detection and Sentiment Classification for Online Reviews Ying Chen Peng Liu C. Teo 20 2 0 09 Sep 2020
Imitation Privacy Xun Xian Xinran Wang Mingyi Hong Jie Ding R. Ghanadan 17 3 0 30 Aug 2020
Forecasting with Multiple Seasonality Tianyang Xie Jie Ding AI4TS 21 7 0 27 Aug 2020