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

Title
U-NO: U-shaped Neural Operators Md Ashiqur Rahman Zachary E. Ross Kamyar Azizzadenesheli AI4CE 412 201 0 23 Apr 2022
Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression Theodor Misiakiewicz 214 42 0 21 Apr 2022
Benign Overfitting in Time Series Linear Models with Over-Parameterization Shogo H. Nakakita Masaaki Imaizumi AI4TS 536 7 0 18 Apr 2022
Minimizing Control for Credit Assignment with Strong FeedbackInternational Conference on Machine Learning (ICML), 2022 Alexander Meulemans Matilde Tristany Farinha Maria R. Cervera João Sacramento Benjamin Grewe 213 21 0 14 Apr 2022
Concentration of Random Feature Matrices in High-DimensionsMathematical and Scientific Machine Learning (MSML), 2022 Zhijun Chen Hayden Schaeffer Rachel A. Ward 249 8 0 14 Apr 2022
Overparameterized Linear Regression under Adversarial AttacksIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022 Antônio H. Ribeiro Thomas B. Schon AAML 137 25 0 13 Apr 2022
GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets Johannes Gasteiger Muhammed Shuaibi Anuroop Sriram Stephan Günnemann Zachary W. Ulissi C. L. Zitnick Abhishek Das AI4TS MLAU 242 88 0 06 Apr 2022
Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning CurvesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 David Bosch Ashkan Panahi Ayça Özçelikkale Devdatt Dubhash MLT 217 3 0 06 Apr 2022
Random matrix analysis of deep neural network weight matricesPhysical Review E (Phys. Rev. E), 2022 M. Thamm Max Staats B. Rosenow 174 20 0 28 Mar 2022
Should Machine Learning Models Report to Us When They Are Clueless? Roozbeh Yousefzadeh Xuenan Cao ELM 133 0 0 23 Mar 2022
Deep Learning Generalization, Extrapolation, and Over-parameterization Roozbeh Yousefzadeh 79 1 0 19 Mar 2022
On the Generalization Mystery in Deep Learning S. Chatterjee Piotr Zielinski OOD 255 43 0 18 Mar 2022
The Mathematics of Artificial Intelligence Gitta Kutyniok 157 0 0 16 Mar 2022
Vision-Based Manipulators Need to Also See from Their HandsInternational Conference on Learning Representations (ICLR), 2022 Kyle Hsu Moo Jin Kim Rafael Rafailov Jiajun Wu Chelsea Finn 244 57 0 15 Mar 2022
Towards understanding deep learning with the natural clustering prior Simon Carbonnelle 144 0 0 15 Mar 2022
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary PerspectiveComputer Vision and Pattern Recognition (CVPR), 2022 Gowthami Somepalli Liam H. Fowl Arpit Bansal Ping Yeh-Chiang Yehuda Dar Richard Baraniuk Micah Goldblum Tom Goldstein 163 72 0 15 Mar 2022
Phenomenology of Double Descent in Finite-Width Neural NetworksInternational Conference on Learning Representations (ICLR), 2022 Sidak Pal Singh Aurelien Lucchi Thomas Hofmann Bernhard Schölkopf 137 12 0 14 Mar 2022
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learningAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022 Jessica Hullman Sayash Kapoor Priyanka Nanayakkara Andrew Gelman Arvind Narayanan 463 42 0 12 Mar 2022
Bias-variance decomposition of overparameterized regression with random linear featuresPhysical Review E (Phys. Rev. E), 2022 J. Rocks Pankaj Mehta 115 12 0 10 Mar 2022
Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEsChaos (Chaos), 2022 Gianluca Fabiani Evangelos Galaris L. Russo Constantinos Siettos 136 34 0 10 Mar 2022
On the influence of over-parameterization in manifold based surrogates and deep neural operatorsJournal of Computational Physics (JCP), 2022 Katiana Kontolati S. Goswami Michael D. Shields George Karniadakis 214 47 0 09 Mar 2022
Quantum neural networks force fields generation Oriel Kiss F. Tacchino S. Vallecorsa I. Tavernelli AI4CE 187 22 0 09 Mar 2022
Flat minima generalize for low-rank matrix recoveryInformation and Inference A Journal of the IMA (JIII), 2022 Lijun Ding Dmitriy Drusvyatskiy Maryam Fazel Zaid Harchaoui 188 29 0 07 Mar 2022
Generalization Through The Lens Of Leave-One-Out ErrorInternational Conference on Learning Representations (ICLR), 2022 Gregor Bachmann Thomas Hofmann Aurelien Lucchi 280 8 0 07 Mar 2022
Estimation under Model Misspecification with Fake FeaturesIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022 Martin Hellkvist Ayça Özçelikkale Anders Ahlén 79 12 0 07 Mar 2022
Contrasting random and learned features in deep Bayesian linear regressionPhysical Review E (Phys. Rev. E), 2022 Jacob A. Zavatone-Veth William L. Tong Cengiz Pehlevan BDL MLT 311 31 0 01 Mar 2022
Amortized Proximal OptimizationNeural Information Processing Systems (NeurIPS), 2022 Juhan Bae Paul Vicol Jeff Z. HaoChen Roger C. Grosse ODL 301 15 0 28 Feb 2022
Robust Training under Label Noise by Over-parameterizationInternational Conference on Machine Learning (ICML), 2022 Sheng Liu Zhihui Zhu Qing Qu Chong You NoLa OOD 221 130 0 28 Feb 2022
Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice Tobias Fissler Christian Lorentzen Michael Mayer 248 14 0 25 Feb 2022
Benefit of Interpolation in Nearest Neighbor AlgorithmsSIAM Journal on Mathematics of Data Science (SIMODS), 2019 Yue Xing Qifan Song Guang Cheng 243 40 0 23 Feb 2022
Are All Linear Regions Created Equal?International Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Matteo Gamba Adrian Chmielewski-Anders Josephine Sullivan Hossein Azizpour Mårten Björkman MLT 227 17 0 23 Feb 2022
Explicit Regularization via Regularizer Mirror Descent Navid Azizan Sahin Lale B. Hassibi 81 5 0 22 Feb 2022
Overparametrization improves robustness against adversarial attacks: A replication study Ali Borji AAML 100 1 0 20 Feb 2022
Geometric Regularization from Overparameterization Nicholas J. Teague 102 1 0 18 Feb 2022
Interpolation and Regularization for Causal LearningNeural Information Processing Systems (NeurIPS), 2022 L. C. Vankadara Luca Rendsburg U. V. Luxburg Debarghya Ghoshdastidar CML 164 2 0 18 Feb 2022
Deep Ensembles Work, But Are They Necessary?Neural Information Processing Systems (NeurIPS), 2022 Taiga Abe E. Kelly Buchanan Geoff Pleiss R. Zemel John P. Cunningham OOD UQCV 316 79 0 14 Feb 2022
Benign Overfitting in Two-layer Convolutional Neural NetworksNeural Information Processing Systems (NeurIPS), 2022 Yuan Cao Zixiang Chen M. Belkin Quanquan Gu MLT 345 105 0 14 Feb 2022
Support Vectors and Gradient Dynamics of Single-Neuron ReLU Networks Sangmin Lee Byeongsu Sim Jong Chul Ye MLT 167 0 0 11 Feb 2022
Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear DataAnnual Conference Computational Learning Theory (COLT), 2022 Spencer Frei Niladri S. Chatterji Peter L. Bartlett MLT 436 87 0 11 Feb 2022
A Neural Phillips Curve and a Deep Output GapSocial Science Research Network (SSRN), 2022 Philippe Goulet Coulombe 103 11 0 08 Feb 2022
Is interpolation benign for random forest regression?International Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Ludovic Arnould Claire Boyer Erwan Scornet 163 6 0 08 Feb 2022
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape GeometryInternational Conference on Machine Learning (ICML), 2022 Fabrizio Pittorino Antonio Ferraro Gabriele Perugini Christoph Feinauer Carlo Baldassi R. Zecchina 472 28 0 07 Feb 2022
HARFE: Hard-Ridge Random Feature ExpansionSampling Theory, Signal Processing, and Data Analysis (TSPDA), 2022 Esha Saha Hayden Schaeffer Giang Tran 251 20 0 06 Feb 2022
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership InferenceNeural Information Processing Systems (NeurIPS), 2022 Jasper Tan Blake Mason Hamid Javadi Richard G. Baraniuk FedML 222 20 0 02 Feb 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone DecompositionsInternational Conference on Machine Learning (ICML), 2022 Aaron Mishkin Arda Sahiner Mert Pilanci OffRL 450 32 0 02 Feb 2022
Generalizing similarity in noisy setups: the DIBS phenomenonEuropean Conference on Artificial Intelligence (ECAI), 2022 Nayara Fonseca V. Guidetti 230 0 0 30 Jan 2022
Interplay between depth of neural networks and locality of target functions Takashi Mori Masakuni Ueda 112 0 0 28 Jan 2022
With Greater Distance Comes Worse Performance: On the Perspective of Layer Utilization and Model Generalization James Wang Cheng Yang 73 0 0 28 Jan 2022
To what extent should we trust AI models when they extrapolate? Roozbeh Yousefzadeh Xuenan Cao 143 5 0 27 Jan 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse PerturbationsArtificial Intelligence (AIJ), 2022 M. Virgolin Saverio Fracaros CML 321 38 0 22 Jan 2022