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A Simpler Look At Complexity

https://doi.org/10.2139/ssrn.5363107
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470434697openalex-snapshot
Robust Statistics
inferredcites →https://doi.org/10.1002/cpa.22008openalex-snapshot
The Generalization Error of Random Features Regression: Precise Asymptotics and the Double Descent Curve
inferredcites →https://doi.org/10.1007/978-1-4419-0661-8openalex-snapshot
Spectral Analysis of Large Dimensional Random Matrices
inferredcites →https://doi.org/10.1007/s00220-010-1044-5openalex-snapshot
Random Matrices: Universality of Local Eigenvalue Statistics up to the Edge
inferredcites →https://doi.org/10.1016/j.jeconom.2023.105574openalex-snapshot
Asset pricing with neural networks: Significance tests
inferredcites →https://doi.org/10.1016/s1573-4412(07)06076-xopenalex-snapshot
Chapter 76 Large Sample Sieve Estimation of Semi-Nonparametric Models
inferredcites →https://doi.org/10.1017/cbo9780511546921openalex-snapshot
Prediction, Learning, and Games
inferredcites →https://doi.org/10.1017/cbo9780511994746openalex-snapshot
Random Matrix Methods for Wireless Communications
inferredcites →https://doi.org/10.1073/pnas.1307842110openalex-snapshot
On robust regression with high-dimensional predictors
inferredcites →https://doi.org/10.1073/pnas.1903070116openalex-snapshot
Reconciling modern machine-learning practice and the classical bias–variance trade-off
inferredcites →https://doi.org/10.1073/pnas.1907378117openalex-snapshot
Benign overfitting in linear regression
inferredcites →https://doi.org/10.1088/1742-5468/ac3a81openalex-snapshot
When do neural networks outperform kernel methods?*
inferredcites →https://doi.org/10.1093/rfs/hhaa009openalex-snapshot
Empirical Asset Pricing via Machine Learning
inferredcites →https://doi.org/10.1093/rfs/hhaa062openalex-snapshot
Bond Risk Premiums with Machine Learning
inferredcites →https://doi.org/10.1109/tpami.2021.3097011openalex-snapshot
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
inferredcites →https://doi.org/10.1111/jofi.12883openalex-snapshot
Taming the Factor Zoo: A Test of New Factors
inferredcites →https://doi.org/10.1111/jofi.13298openalex-snapshot
The Virtue of Complexity in Return Prediction
inferredcites →https://doi.org/10.1198/jasa.2003.s269openalex-snapshot
Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
inferredcites →https://doi.org/10.1214/21-aos2133openalex-snapshot
Surprises in high-dimensional ridgeless least squares interpolation
inferredcites →https://doi.org/10.1214/aoms/1177703732openalex-snapshot
Robust Estimation of a Location Parameter
inferredcites →https://doi.org/10.1214/aos/1009210544openalex-snapshot
On the distribution of the largest eigenvalue in principal components analysis
inferredcites →https://doi.org/10.1287/mnsc.2023.4695openalex-snapshot
Deep Learning in Asset Pricing
inferredcites →https://doi.org/10.2139/ssrn.4410125openalex-snapshot
Comment on 'The Virtue of Complexity in Return Prediction'
inferredcites →https://doi.org/10.2139/ssrn.5202064openalex-snapshot
The Limited Virtue of Complexity in a Noisy World
inferredcites →https://doi.org/10.2139/ssrn.5239006openalex-snapshot
Simplified: A Closer Look at the Virtue of Complexity in Return Prediction
inferredcites →https://doi.org/10.2139/ssrn.5339445openalex-snapshot
High-Dimensional Learning in Finance
inferredcites →https://doi.org/10.2139/ssrn.5386615openalex-snapshot
Seemingly Virtuous Complexity in Return Prediction
inferredcites →https://doi.org/10.3386/w33012openalex-snapshot
APT or “AIPT”? The Surprising Dominance of Large Factor Models
inferredcites →https://doi.org/10.3386/w33421openalex-snapshot
Can Machines Learn Weak Signals?
inferredcites →https://doi.org/10.48550/arxiv.1602.04474openalex-snapshot
Generalization Properties of Learning with Random Features
inferredcites →https://doi.org/10.48550/arxiv.1908.05355openalex-snapshot
The generalization error of random features regression: Precise asymptotics and double descent curve
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