Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 87 checked references that resolve
resolves10.1145/3559540Generative Adversarial Networks in Time Series: A Systematic Literature Review
resolves10.2307/1912275Arbitrage, Factor Structure, and Mean-Variance Analysis on Large Asset Markets
resolves10.1093/imaiai/iaac001Nonparametric regression on low-dimensional manifolds using deep ReLU networks: function approximation and statistical recovery
resolves10.1145/3604237.3626854Conditional Generators for Limit Order Book Environments: Explainability, Challenges, and Robustness
resolves10.3982/ECTA7432Efficient Semiparametric Estimation of the Fama-French Model and Extensions
resolves10.1080/713665670Empirical properties of asset returns: stylized facts and statistical issues
resolves10.1287/mnsc.1080.0986A Generalized Approach to Portfolio Optimization: Improving Performance by Constraining Portfolio Norms
resolves10.1093/rfs/hhm075Optimal Versus Naive Diversification: How Inefficient is the 1/
<i>N</i>
Portfolio Strategy?
resolves10.1111/ectj.12061An overview of the estimation of large covariance and precision matrices
resolves10.1111/rssb.12016Large Covariance Estimation by Thresholding Principal Orthogonal Complements
resolves10.1093/jjfinec/nbaa007The Power of (Non-)Linear Shrinking: A Review and Guide to Covariance Matrix Estimation
resolves10.1162/REST_a_00043Determining the Number of Factors from Empirical Distribution of Eigenvalues
resolves10.1111/mafi.12365Deep empirical risk minimization in finance: Looking into the future
resolves10.1214/25-SS152Score-based diffusion models via stochastic differential equations
resolves10.1017/S0022109010000335Incorporating Economic Objectives into Bayesian Priors: Portfolio Choice under Parameter Uncertainty
resolves10.1145/3626235Diffusion Models: A Comprehensive Survey of Methods and Applications
resolves10.1007/s002450010003Continuous-Time Mean-Variance Portfolio Selection: A Stochastic LQ Framework
The 93 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref5
no DOI — not checkedref8
no DOI — not checkedref10
no DOI — not checkedSigdiffusions: Score-based diffusion models for long time series via log-signature embeddings
no DOI — not checkedSpectrally-normalized margin bounds for neural networks
no DOI — not checkedNearly d-linear convergence bounds for diffusion models via stochastic localization
no DOI — not checkedAsset-pricing factors with economic targets
no DOI — not checkedA survey on generative diffusion models
no DOI — not checkedref32
no DOI — not checkedEvolution of gaussian concentration bounds under diffusions
no DOI — not checkedMarginalized denoising autoencoders for domain adaptation
no DOI — not checked2023a, Score approximation, estimation and distribution recovery of diffusion models on low-dimensional data
no DOI — not checkedOn generalization bounds of a family of recurrent neural networks
no DOI — not checkedref40
no DOI — not checked2023b, Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
no DOI — not checkedRestoration-degradation beyond linear diffusions: A nonasymptotic analysis for ddim-type samplers
no DOI — not checkedScore-based generative models break the curse of dimensionality in learning a family of sub-gaussian probability distributions
no DOI — not checkedOn the constrained time-series generation problem
no DOI — not checkedLimit order book simulation with generative adversarial networks
no DOI — not checkedref51
no DOI — not checkedThe usual suspects? reassessing blame for vae posterior collapse
no DOI — not checkedref55
no DOI — not checkedDiffusion schr�dinger bridge with applications to score-based generative modeling
no DOI — not checkedDiffusion models beat gans on image synthesis
no DOI — not checkedref60
no DOI — not checkedref61
no DOI — not checkedref63
no DOI — not checkedProjected principal component analysis in factor models
no DOI — not checkedNonlinear time series: nonparametric and parametric methods
no DOI — not checkedThe variation of economic risk premiums
no DOI — not checkedThe lottery ticket hypothesis: Finding sparse, trainable neural networks
no DOI — not checkedref77
no DOI — not checkedWasserstein convergence guarantees for a general class of scorebased generative models
no DOI — not checkedref79
no DOI — not checkedref89
no DOI — not checkedDeep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding
no DOI — not checkedNeural network-based score estimation in diffusion models: Optimization and generalization
no DOI — not checkedref94
no DOI — not checkedLagging inference networks and posterior collapse in variational autoencoders
no DOI — not checkedDenoising diffusion probabilistic models
no DOI — not checkedSparsity in deep learning: Pruning and growth for efficient inference and training in neural networks
no DOI — not checkedElbo surgery: yet another way to carve up the variational evidence lower bound
no DOI — not checkedref101
no DOI — not checkedEstimation of non-normalized statistical models by score matching
no DOI — not checkedref105
no DOI — not checkedThe conditional capm and the cross-section of expected returns
no DOI — not checkedref111
no DOI — not checkedElucidating the design space of diffusion-based generative models
no DOI — not checkedModeling corporate bond returns
no DOI — not checkedStatistical efficiency of score matching: The view from isoperimetry
no DOI — not checkedTabddpm: Modelling tabular data with diffusion models
no DOI — not checkedConvergence for score-based generative modeling with polynomial complexity
no DOI — not checkedConvergence of score-based generative modeling for general data distributions
no DOI — not checked2024a, Towards non-asymptotic convergence for diffusion-based generative models
no DOI — not checkedref128
no DOI — not checkedUnified convergence analysis for score-based diffusion models with deterministic samplers
no DOI — not checkedUnderstanding generalizability of diffusion models requires rethinking the hidden gaussian structure
no DOI — not checkedref131
no DOI — not checkedref133
no DOI — not checkedChallenging common assumptions in the unsupervised learning of disentangled representations
no DOI — not checkedLearning sparse neural networks through l 0 regularization
no DOI — not checkedref137
no DOI — not checkedImproved denoising diffusion probabilistic models
no DOI — not checkedDiffusion models are minimax optimal distribution estimators
no DOI — not checkedref145
no DOI — not checkedU-net: Convolutional networks for biomedical image segmentation
no DOI — not checkedref147
no DOI — not checkedref148
no DOI — not checkedref150
no DOI — not checkedGenerative modeling by estimating gradients of the data distribution
no DOI — not checkedImproved techniques for training score-based generative models
no DOI — not checkedSliced score matching: A scalable approach to density and score estimation
no DOI — not checkedref154
no DOI — not checkedThe implicit bias of gradient descent on separable data
no DOI — not checkedTraining sparse neural networks
no DOI — not checkedAdaptivity of diffusion models to manifold structures
no DOI — not checkedref158
no DOI — not checkedCsdi: Conditional score-based diffusion models for probabilistic time series imputation
no DOI — not checkedref161
no DOI — not checkedref162
no DOI — not checkedThe future of data analysis
no DOI — not checkedref165
no DOI — not checkedVOLGAN: A generative model for arbitrage-free implied volatility surfaces
no DOI — not checkedref169
no DOI — not checkedref170
no DOI — not checkedThe diffusion process as a correlation machine: Linear denoising insights
no DOI — not checkedOptimal score estimation via empirical bayes smoothing
no DOI — not checkedTackling the generative learning trilemma with denoising diffusion gans
no DOI — not checkedGeneralization error bound for denoising score matching under relaxed manifold assumption
no DOI — not checkedConvergence in kl and r�nyi divergence of the unadjusted langevin algorithm using estimated score
no DOI — not checkedTime-series generative adversarial networks
no DOI — not checkedMinimax optimality of score-based diffusion models: Beyond the density lower bound assumptions
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