Boosting Statistic Learning with Synthetic Data from Pretrained Large Models | Paper Citation Record

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This paper cites How faithful is your synthetic data? sample-level metrics for evaluating and auditing generative models.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models How faithful is your synthetic data? sample-level metrics for evaluating and auditing generative models

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This paper cites A systematic review of trustworthy and explainable 17 artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models A systematic review of trustworthy and explainable 17 artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

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This paper cites Springer Science & Business Media, 2008.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Springer Science & Business Media, 2008

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Bartlett

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This paper cites Towards principled methods for training generative adversarial networks.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Towards principled methods for training generative adversarial networks

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Wasserstein generative adversar- ial networks

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This paper cites Geometrical methods in the theory of ordinary differential equations, volume 250.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Geometrical methods in the theory of ordinary differential equations, volume 250

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This paper cites Generating synthetic data in finance: opportunities, challenges and pitfalls.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Generating synthetic data in finance: opportunities, challenges and pitfalls

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Unsupervised domain adaptation by domain invariant projection

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This paper cites Cvae-gan: Fine- grained image generation through asymmetric training.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Cvae-gan: Fine- grained image generation through asymmetric training

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Rademacher and gaussian complexities: Risk bounds and structural results

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This paper cites Bartlett, Nick Harvey, Christopher Liaw, and Abbas Mehrabian.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Bartlett, Nick Harvey, Christopher Liaw, and Abbas Mehrabian

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This paper cites Variational Algorithms for Approximate Bayesian Inference.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Variational Algorithms for Approximate Bayesian Inference

Reference 14

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Generating synthetic data for machine learning

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models A theory of learning from different domains

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Deep neural networks for nonparametric interaction models with diverging dimension

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This paper cites Mathematical statistics: basic ideas and selected topics, volumes I-II package.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Mathematical statistics: basic ideas and selected topics, volumes I-II package

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models The zig-zag process and super- efficient sampling for bayesian analysis of big data

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Probability and measure

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This paper cites Incipient alzheimer’s disease: microarray correlation analyses reveal major transcriptional and tumor suppressor responses.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Incipient alzheimer’s disease: microarray correlation analyses reveal major transcriptional and tumor suppressor responses

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Blei, Alp Kucukelbir, and Jon D

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models eummd: efficiently computing the mmd two-sample test statistic for univariate data

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models A review of feature selection methods on synthetic data

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models The bouncy particle sampler: A nonreversible rejection-free markov chain monte carlo method

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This paper cites Skin cancer classification using convolutional neural networks: systematic review.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Skin cancer classification using convolutional neural networks: systematic review

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jones, and Xiao-Li Meng

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models The genotype-tissue expression (gtex) project

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Chawla, Kevin W

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models A unified particle-optimization framework for scalable bayesian sampling

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Stochastic gradient Hamiltonian Monte Carlo

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Boosting synthetic data generation with effective nonlinear causal discovery

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models The geometry of proper scoring rules

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Minimax esti- mation of conditional moment models

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models NICE: Non-linear independent components estimation

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Density estimation using Real NVP

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Neural mean discrepancy for efficient out-of-distribution detection

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models High-dimensional data analysis: The curses and blessings of dimensionality

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Kennedy, Brian J

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models On the geometry of Stein variational gradient descent

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models The Hastings algorithm at fifty

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Training generative neural networks via Maximum Mean Discrepancy optimization

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Stein’s paradox in statistics

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models An introduction to the bootstrap

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Factor augmented sparse throughput deep relu neural networks for high dimensional regression.Journal of the American Statistical Association, (just-accepted):1–28, 2023

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models A selective overview of deep learning

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models How do noise tails impact on deep ReLU networks?

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Deep neural networks for estimation and inference

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models On the mathematical foundations of theoretical statistics

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Frigyik, S

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Maximum mean discrepancy test is aware of adversarial attacks

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Deep generative learning via variational gradient flow

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Deep generative learning with Euler particle transport

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Gerber, Yanjun Han, and Yury Polyanskiy

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Gershman, M

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Cambridge Series in Statistical and Probabilistic Mathematics

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Riemann manifold Langevin and Hamiltonian Monte Carlo methods

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Strictly proper scoring rules, prediction, and estimation

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Generative adversarial nets

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Representations of knowledge in complex systems

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This paper cites A kernel method for the two-sample-problem.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models A kernel method for the two-sample-problem

Reference 64

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models A kernel two-sample test

Reference 65

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models On the (Statistical) Detection of Adversarial Examples

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Improved training of wasserstein gans

Reference 67

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Gutmann and J

Reference 68

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Gutmann and A Hyv¨ arinen

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Pre-trained models: Past, present and future

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Keith Hastings

Reference 71

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Deep residual learning for image recognition

Reference 72

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Feedback-guided Data Synthesis for Imbalanced Classification

Reference 73

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This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 74

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Improving the Scaling Laws of Synthetic Data with Deliberate Practice

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Hoffman and Andrew Gelman

Reference 76

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Stochastic variational inference

Reference 77

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models

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This paper cites An error analysis of generative adversarial networks for learning distributions.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models An error analysis of generative adversarial networks for learning distributions

Reference 79

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Evaluating Aleatoric Uncertainty via Conditional Generative Models

Reference 80

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Efficient statistical tests: A neural tangent kernel approach

Reference 82

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This paper cites Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models The variational formulation of the Fokker–Planck equation

Reference 84

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This paper cites Foundations of modern probability, volume 2.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Foundations of modern probability, volume 2

Reference 85

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Statistical analysis of distance estimators with density differences and density ratios

Reference 86

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Fill-Up: Balancing Long-Tailed Data with Generative Models

Reference 87

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Global and local two-sample tests via regression

Reference 88

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Classification accuracy as a proxy for two-sample testing

Reference 89

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Auto-Encoding Variational Bayes

Reference 90

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Auto-encoding variational bayes

Reference 91

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models A non- asymptotic analysis for stein variational gradient descent

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Kernel stein discrepancy descent

Reference 93

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Imagenet classification with deep convolutional neural networks

Reference 94

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This paper cites Automl two-sample test.Advances in Neural Information Processing Systems, 35:15929–15941, 2022.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Automl two-sample test.Advances in Neural Information Processing Systems, 35:15929–15941, 2022

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models On information and sufficiency

Reference 96

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Gradient-based learning applied to document recognition

Reference 97

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This paper cites Finite Difference Methods for Ordinary and Partial Differential Equations: Steady-state and Time-dependent Problems , volume 98.

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Finite Difference Methods for Ordinary and Partial Differential Equations: Steady-state and Time-dependent Problems , volume 98

Reference 98

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Mmd gan: Towards deeper understanding of moment matching network

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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Adversarial learning of a sampler based on an unnormalized distribution

Reference 100

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