Generative Adversarial Learning from Deterministic Processes
Fuente:
arXiv
Saved in:
| Main Authors: | Kühl, Joris C., Gottschalk, Hanno |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments
by: Zhang, Yikun, et al.
Published: (2025)
by: Zhang, Yikun, et al.
Published: (2025)
Trade-off Between Dependence and Complexity for Nonparametric Learning -- an Empirical Process Approach
by: Deb, Nabarun, et al.
Published: (2024)
by: Deb, Nabarun, et al.
Published: (2024)
Two approaches to multiple canonical correlation analysis for repeated measures data
by: Górecki, Tomasz, et al.
Published: (2025)
by: Górecki, Tomasz, et al.
Published: (2025)
Bump hunting through density curvature features
by: Chacón, José E., et al.
Published: (2022)
by: Chacón, José E., et al.
Published: (2022)
Credal and Interval Deep Evidential Classifications
by: Caprio, Michele, et al.
Published: (2025)
by: Caprio, Michele, et al.
Published: (2025)
Comparing Scale Parameter Estimators for Gaussian Process Interpolation with the Brownian Motion Prior: Leave-One-Out Cross Validation and Maximum Likelihood
by: Naslidnyk, Masha, et al.
Published: (2023)
by: Naslidnyk, Masha, et al.
Published: (2023)
Computing conservative probabilities of rare events with surrogates
by: Bousquet, Nicolas
Published: (2024)
by: Bousquet, Nicolas
Published: (2024)
Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
by: Zhang, Yikun, et al.
Published: (2024)
by: Zhang, Yikun, et al.
Published: (2024)
Global polynomial-time estimation in statistical nonlinear inverse problems via generalized stability
by: Wang, Sven
Published: (2026)
by: Wang, Sven
Published: (2026)
Randomness, exchangeability, and conformal prediction
by: Vovk, Vladimir
Published: (2025)
by: Vovk, Vladimir
Published: (2025)
Nonparametric estimation of a factorizable density using diffusion models
by: Kwon, Hyeok Kyu, et al.
Published: (2025)
by: Kwon, Hyeok Kyu, et al.
Published: (2025)
Inference with Mondrian Random Forests
by: Cattaneo, Matias D., et al.
Published: (2023)
by: Cattaneo, Matias D., et al.
Published: (2023)
Conformal e-prediction in the presence of confounding
by: Vovk, Vladimir, et al.
Published: (2026)
by: Vovk, Vladimir, et al.
Published: (2026)
Universality of conformal prediction under the assumption of randomness
by: Vovk, Vladimir
Published: (2025)
by: Vovk, Vladimir
Published: (2025)
Uniform convergence of kernel averages under fixed design with heterogeneous dependent data
by: Matsuoka, Danilo Hiroshi, et al.
Published: (2026)
by: Matsuoka, Danilo Hiroshi, et al.
Published: (2026)
Volatility estimation from a view point of entropy
by: Akahori, Jirô, et al.
Published: (2024)
by: Akahori, Jirô, et al.
Published: (2024)
Validity and efficiency of the conformal CUSUM procedure
by: Vovk, Vladimir, et al.
Published: (2024)
by: Vovk, Vladimir, et al.
Published: (2024)
Nonparametric Bayesian inference for stochastic processes with piecewise constant priors
by: Belomestny, Denis, et al.
Published: (2023)
by: Belomestny, Denis, et al.
Published: (2023)
Estimating hazard rates from $δ$-records in discrete distributions
by: Alcalde, Martín, et al.
Published: (2025)
by: Alcalde, Martín, et al.
Published: (2025)
When Do Credal Sets Stabilize? Fixed-Point Theorems for Credal Set Updates
by: Caprio, Michele, et al.
Published: (2025)
by: Caprio, Michele, et al.
Published: (2025)
On kernel mode estimation under RLT and WOD model
by: Alem, Mohamed Kaber El, et al.
Published: (2024)
by: Alem, Mohamed Kaber El, et al.
Published: (2024)
Credal Bayesian Deep Learning
by: Caprio, Michele, et al.
Published: (2023)
by: Caprio, Michele, et al.
Published: (2023)
Conditional distributions for the nested Dirichlet process via sequential imputation
by: Donald, Evan, et al.
Published: (2025)
by: Donald, Evan, et al.
Published: (2025)
On Lai's Upper Confidence Bound in Multi-Armed Bandits
by: Ren, Huachen, et al.
Published: (2024)
by: Ren, Huachen, et al.
Published: (2024)
Conformal Prediction Regions are Imprecise Highest Density Regions
by: Caprio, Michele, et al.
Published: (2025)
by: Caprio, Michele, et al.
Published: (2025)
Quantifying and testing dependence to categorical variables
by: Hörmann, Siegfried, et al.
Published: (2025)
by: Hörmann, Siegfried, et al.
Published: (2025)
M-estimation under Two-Phase Multiwave Sampling with Applications to Prediction-Powered Inference
by: Kluger, Dan M., et al.
Published: (2026)
by: Kluger, Dan M., et al.
Published: (2026)
Mean and Covariance Estimation for Discretely Observed High-Dimensional Functional Data: Rates of Convergence and Division of Observational Regimes
by: Petersen, Alexander
Published: (2024)
by: Petersen, Alexander
Published: (2024)
Causality as the Statistical Conscience of Artificial Intelligence: From Pearl's Ladder to Trustworthy Machines
by: Fokoué, Ernest
Published: (2026)
by: Fokoué, Ernest
Published: (2026)
Statistical inference for subgraph counts and clustering coefficient using network sampling in a sparse Stochastic Block Model framework
by: Mandal, Anirban, et al.
Published: (2024)
by: Mandal, Anirban, et al.
Published: (2024)
Time Series Analysis by State Space Learning
by: Ramos, André, et al.
Published: (2024)
by: Ramos, André, et al.
Published: (2024)
Nonparametric Bayesian volatility learning under microstructure noise
by: Gugushvili, Shota, et al.
Published: (2018)
by: Gugushvili, Shota, et al.
Published: (2018)
Conditioning of Banach Space Valued Gaussian Random Variables: An Approximation Approach Based on Martingales
by: Steinwart, Ingo
Published: (2024)
by: Steinwart, Ingo
Published: (2024)
Generalized Functional ANOVA in Closed-Form: A Unified View of Additive Explanations
by: Ferrere, Baptiste, et al.
Published: (2026)
by: Ferrere, Baptiste, et al.
Published: (2026)
Direct Estimation of Schrödinger Bridge Time-Series Drifts: Finite-Sample, Asymptotic, and Adaptive Guarantees
by: Mazhar, Othmane, et al.
Published: (2026)
by: Mazhar, Othmane, et al.
Published: (2026)
A General Weighting Theory for Ensemble Learning: Beyond Variance Reduction via Spectral and Geometric Structure
by: Fokoué, Ernest
Published: (2025)
by: Fokoué, Ernest
Published: (2025)
Overcoming Representation Bias in Fairness-Aware data Repair using Optimal Transport
by: Langbridge, Abigail, et al.
Published: (2024)
by: Langbridge, Abigail, et al.
Published: (2024)
Conformal e-testing
by: Vovk, Vladimir, et al.
Published: (2020)
by: Vovk, Vladimir, et al.
Published: (2020)
Automatic Debiased Machine Learning via Riesz Regression
by: Chernozhukov, Victor, et al.
Published: (2021)
by: Chernozhukov, Victor, et al.
Published: (2021)
Causal Structure Learning in Directed, Possibly Cyclic, Graphical Models
by: Semnani, Pardis, et al.
Published: (2023)
by: Semnani, Pardis, et al.
Published: (2023)
Similar Items
-
Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments
by: Zhang, Yikun, et al.
Published: (2025) -
Trade-off Between Dependence and Complexity for Nonparametric Learning -- an Empirical Process Approach
by: Deb, Nabarun, et al.
Published: (2024) -
Two approaches to multiple canonical correlation analysis for repeated measures data
by: Górecki, Tomasz, et al.
Published: (2025) -
Bump hunting through density curvature features
by: Chacón, José E., et al.
Published: (2022) -
Credal and Interval Deep Evidential Classifications
by: Caprio, Michele, et al.
Published: (2025)