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Reconciling modern machine learning practice and the bias-variance trade-off

28 December 2018

Papers citing "Reconciling modern machine learning practice and the bias-variance trade-off"

50 / 942 papers shown

Title
Parameter Reduction Improves Vision Transformers: A Comparative Study of Sharing and Width Reduction Anantha Padmanaban Krishna Kumar ViT 24 0 0 30 Nov 2025
On the Effect of Regularization on Nonparametric Mean-Variance Regression Eliot Wong-Toi Alex Boyd Vincent Fortuin Stephan Mandt 12 0 0 27 Nov 2025
SX-GeoTree: Self-eXplaining Geospatial Regression Tree Incorporating the Spatial Similarity of Feature Attributions Chaogui Kang Lijian Luo Qingfeng Guan Yu Liu 80 0 0 25 Nov 2025
Lower Bias, Higher Welfare: How Creator Competition Reshapes Bias-Variance Tradeoff in Recommendation Platforms? Kang Wang Renzhe Xu Bo Li 56 0 0 25 Nov 2025
Analog Physical Systems Can Exhibit Double Descent Sam Dillavou Jason W Rocks J. F. Wycoff A. Liu D. Durian 52 0 0 21 Nov 2025
DNNs, Dataset Statistics, and Correlation Functions Robert W. Batterman James F. Woodward 8 0 0 18 Nov 2025
Benign Overfitting in Linear Classifiers with a Bias Term Yuta Kondo AI4CE 196 0 0 16 Nov 2025
Source-Optimal Training is Transfer-Suboptimal C. Evans Hedges 84 0 0 11 Nov 2025
Analyzing the Power of Chain of Thought through Memorization Capabilities Lijia Yu Xiao-Shan Gao Lijun Zhang LRM ELM 200 0 0 03 Nov 2025
EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs Ali Satvaty Suzan Verberne Fatih Turkmen MIALM 263 0 0 31 Oct 2025
How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs Samet Demir Zafer Dogan 89 0 0 29 Oct 2025
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations Olawale Salaudeen Haoran Zhang Mingyu Lu Sara Beery Marzyeh Ghassemi OODD 309 0 0 28 Oct 2025
Convergence of Stochastic Gradient Langevin Dynamics in the Lazy Training Regime Noah Oberweis Semih Cayci 189 0 0 24 Oct 2025
A Unified Perspective on Optimization in Machine Learning and Neuroscience: From Gradient Descent to Neural Adaptation Jesus Garcia Fernandez Nasir Ahmad Marcel van Gerven AI4CE 225 0 0 21 Oct 2025
Position: Many generalization measures for deep learning are fragile Shuofeng Zhang A. Louis AAML 214 0 0 21 Oct 2025
On the Impossibility of Retrain Equivalence in Machine Unlearning Jiatong Yu Yinghui He Anirudh Goyal Sanjeev Arora MU 270 0 0 18 Oct 2025
Memorizing Long-tail Data Can Help Generalization Through Composition Mo Zhou Haoyang Ma Rong Ge TDI 321 0 0 18 Oct 2025
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression Yeichan Kim Ilmun Kim Seyoung Park 124 0 0 17 Oct 2025
A novel Information-Driven Strategy for Optimal Regression Assessment Benjamín Castro Camilo Ramírez Sebastián Espinosa Jorge F. Silva Marcos E. Orchard Heraldo Rozas 60 0 0 16 Oct 2025
Optimal Regularization for Performative Learning Edwige Cyffers Alireza Mirrokni Marco Mondelli 100 0 0 14 Oct 2025
Redundancy as a Structural Information Principle for Learning and Generalization Yuda Bi Ying Zhu Vince D. Calhoun 100 0 0 13 Oct 2025
Provable Watermarking for Data Poisoning Attacks Yifan Zhu Lijia Yu Xiao-Shan Gao AAML 127 0 0 10 Oct 2025
High-dimensional Analysis of Synthetic Data Selection Parham Rezaei Filip Kovačević Francesco Locatello Marco Mondelli 157 0 0 09 Oct 2025
Deep Neural Networks Inspired by Differential Equations Y. Liu Lianfang Wang Kuilin Qin Qinghua Zhang Faqiang Wang Li-min Cui Jun Liu Yuping Duan T. Zeng AI4TS AI4CE 174 0 0 09 Oct 2025
The Effect of Label Noise on the Information Content of Neural Representations Ali Hussaini Umar Franky Kevin Nando Tezoh Jean Barbier Santiago Acevedo Alessandro Laio SSL NoLa 190 0 0 07 Oct 2025
Spectral Thresholds for Identifiability and Stability:Finite-Sample Phase Transitions in High-Dimensional Learning William Hao-Cheng Huang 56 0 0 04 Oct 2025
On residual network depth Benoit Dherin Michael Munn MDE 225 0 0 03 Oct 2025
Non-Vacuous Generalization Bounds: Can Rescaling Invariances Help? Damien Rouchouse Antoine Gonon Rémi Gribonval Benjamin Guedj 108 0 0 30 Sep 2025
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models Jonas Hübotter Patrik Wolf Alexander Shevchenko Dennis Jüni Andreas Krause Gil Kur 196 0 0 29 Sep 2025
Double Descent as a Lens for Sample Efficiency in Autoregressive vs. Discrete Diffusion Models Ahmad Fraij Sam Dauncey DiffM 84 0 0 29 Sep 2025
Neural Feature Geometry Evolves as Discrete Ricci Flow Moritz Hehl Max von Renesse Melanie Weber AI4CE 95 0 0 26 Sep 2025
Incorporating priors in learning: a random matrix study under a teacher-student framework Malik Tiomoko Ekkehard Schnoor 84 0 0 26 Sep 2025
A Law of Data Reconstruction for Random Features (and Beyond) Leonardo Iurada Simone Bombari Tatiana Tommasi Marco Mondelli 116 0 0 26 Sep 2025
$Closed-form $\ell_r$ norm scaling with data for overparameterized linear regression and diagonal linear networks under $\ell_p$ bias$ Closed-form $\ell_r$ norm scaling with data for overparameterized linear regression and diagonal linear networks under $\ell_p$ bias Shuofeng Zhang A. Louis 149 0 0 25 Sep 2025
Understanding and Enhancing Mask-Based Pretraining towards Universal Representations Mingze Dong Leda Wang Yuval Kluger SSL 113 0 0 25 Sep 2025
Pre-training under infinite compute Konwoo Kim Suhas Kotha Abigail Z. Jacobs Tatsunori Hashimoto 200 1 0 18 Sep 2025
Inspired by machine learning optimization: can gradient-based optimizers solve cycle skipping in full waveform inversion given sufficient iterations? Xinru Mu Omar M. Saad Shaowen Wang Tariq Alkhalifah 65 0 0 18 Sep 2025
Deep learning and abstractive summarisation for radiological reports: an empirical study for adapting the PEGASUS models' family with scarce data Claudio Benzoni Martina Langhals Martin Boeker Luise Modersohn Máté E. Maros MedIm 72 0 0 18 Sep 2025
Data coarse graining can improve model performance Alex Nguyen D. Schwab Vudtiwat Ngampruetikorn 72 0 0 18 Sep 2025
RAPTOR: A Foundation Policy for Quadrotor Control Jonas Eschmann Dario Albani Giuseppe Loianno 138 1 0 15 Sep 2025
An entropy formula for the Deep Linear Network Govind Menon Tianmin Yu 81 2 0 11 Sep 2025
Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix Mehmet Can Yavuz Berrin Yanikoglu 68 2 0 08 Sep 2025
On Aligning Prediction Models with Clinical Experiential Learning: A Prostate Cancer Case Study Jacqueline Jil Vallon William Overman Wanqiao Xu Neil Panjwani Xi Ling ... Geoffrey Sonn Sandy Srinivas E. Pollom Mark K. Buyyounouski Mohsen Bayati 96 1 0 04 Sep 2025
Discrete Functional Geometry of ReLU Networks via ReLU Transition Graphs Sahil Rajesh Dhayalkar 126 0 0 03 Sep 2025
Eigenvalue distribution of the Neural Tangent Kernel in the quadratic scaling Lucas Benigni Elliot Paquette 81 1 0 27 Aug 2025
GRADSTOP: Early Stopping of Gradient Descent via Posterior Sampling Arash Jamshidi Lauri Seppäläinen Katsiaryna Haitsiukevich Hoang Phuc Hau Luu Anton Björklund Kai Puolamäki BDL 125 0 0 26 Aug 2025
On the Edge of Memorization in Diffusion Models Sam Buchanan Druv Pai Yi-An Ma Valentin De Bortoli TDI 236 3 0 25 Aug 2025
From Prediction to Simulation: AlphaFold 3 as a Differentiable Framework for Structural Biology Alireza Abbaszadeh Armita Shahlaee AI4CE 56 1 0 25 Aug 2025
Convergence and Generalization of Anti-Regularization for Parametric Models Dongseok Kim Wonjun Jeong Gisung Oh 189 0 0 24 Aug 2025
On the Collapse Errors Induced by the Deterministic Sampler for Diffusion Models Yi Zhang Zhenyu Liao Jingfeng Wu Difan Zou DiffM 165 1 0 22 Aug 2025