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Minimax confidence intervals for the Sliced Wasserstein distance
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4612-1880-7_29openalex-snapshot
Assouad, Fano, and Le Cam
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Weak Convergence and Empirical Processes
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The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/978-3-030-38438-8openalex-snapshot
An Invitation to Statistics in Wasserstein Space
inferredcites →https://doi.org/10.1007/978-3-540-28650-9_8openalex-snapshot
Introduction to Statistical Learning Theory
inferredcites →https://doi.org/10.1007/978-3-642-24785-9_37openalex-snapshot
Wasserstein Barycenter and Its Application to Texture Mixing
inferredcites →https://doi.org/10.1007/978-3-662-21726-9openalex-snapshot
Continuous Martingales and Brownian Motion
inferredcites →https://doi.org/10.1007/978-3-663-14229-4openalex-snapshot
Asymptotic Distribution Theory in Nonparametric Statistics
inferredcites →https://doi.org/10.1007/b13794openalex-snapshot
Introduction to Nonparametric Estimation
inferredcites →https://doi.org/10.1007/bf02392620openalex-snapshot
The geometry of optimal transportation
inferredcites →https://doi.org/10.1007/s00440-006-0004-7openalex-snapshot
Quantitative Concentration Inequalities for Empirical Measures on Non-compact Spaces
inferredcites →https://doi.org/10.1007/s10851-014-0506-3openalex-snapshot
Sliced and Radon Wasserstein Barycenters of Measures
inferredcites →https://doi.org/10.1007/s11222-017-9738-6openalex-snapshot
Likelihood-free inference via classification
inferredcites →https://doi.org/10.1007/s41781-020-0035-2openalex-snapshot
MadMiner: Machine Learning-Based Inference for Particle Physics
inferredcites →https://doi.org/10.1016/b978-044451378-6/50009-0openalex-snapshot
Assessing structural relationships between distributions - a quantile process approach based on Mallows distance
inferredcites →https://doi.org/10.1016/j.jeconom.2019.01.011openalex-snapshot
Inference on functionals under first order degeneracy
inferredcites →https://doi.org/10.1016/j.jmva.2004.03.006openalex-snapshot
On Hadamard differentiability in k -sample semiparametric models—with applications to the assessment of structural relationships
inferredcites →https://doi.org/10.1016/j.jmva.2016.06.005openalex-snapshot
Limit laws of the empirical Wasserstein distance: Gaussian distributions
inferredcites →https://doi.org/10.1016/j.jmva.2018.09.014openalex-snapshot
Central limit theorem and bootstrap procedure for Wasserstein’s variations with an application to structural relationships between distributions
inferredcites →https://doi.org/10.1016/j.jspi.2006.06.003openalex-snapshot
A nonparametric test for similarity of marginals—With applications to the assessment of population bioequivalence
inferredcites →https://doi.org/10.1016/s0047-259x(04)00044-2openalex-snapshot
On Hadamard differentiability in k-sample semiparametric models?with applications to the assessment of structural relationships
inferredcites →https://doi.org/10.1017/cbo9780511811555openalex-snapshot
A User's Guide to Measure Theoretic Probability
inferredcites →https://doi.org/10.1021/ja01453a010openalex-snapshot
UNDAMPED OSCILLATIONS DERIVED FROM THE LAW OF MASS ACTION.
inferredcites →https://doi.org/10.1073/pnas.1915980117openalex-snapshot
Mining gold from implicit models to improve likelihood-free inference
inferredcites →https://doi.org/10.1073/pnas.6.7.410openalex-snapshot
Analytical Note on Certain Rhythmic Relations in Organic Systems
inferredcites →https://doi.org/10.1080/00401706.1997.10485170openalex-snapshot
The Jackknife and Bootstrap
inferredcites →https://doi.org/10.1090/memo/1259openalex-snapshot
One-dimensional empirical measures, order statistics, and Kantorovich transport distances
inferredcites →https://doi.org/10.1090/s0002-9939-07-08877-6openalex-snapshot
A new $L^\infty$ estimate in optimal mass transport
inferredcites →https://doi.org/10.1093/imaiai/iaz003openalex-snapshot
On parameter estimation with the Wasserstein distance
inferredcites →https://doi.org/10.1093/imaiai/iaz016openalex-snapshot
A central limit theorem for Lp transportation cost on the real line with application to fairness assessment in machine learning
inferredcites →https://doi.org/10.1109/cvpr.2019.01090openalex-snapshot
Max-Sliced Wasserstein Distance and Its Use for GANs
inferredcites →https://doi.org/10.1109/icassp40776.2020.9054735openalex-snapshot
Approximate Bayesian Computation with the Sliced-Wasserstein Distance
inferredcites →https://doi.org/10.1109/msp.2017.2695801openalex-snapshot
Optimal Mass Transport: Signal processing and machine-learning applications
inferredcites →https://doi.org/10.1109/tpami.2016.2615921openalex-snapshot
Optimal Transport for Domain Adaptation
inferredcites →https://doi.org/10.1111/1467-9868.00121openalex-snapshot
Nonparametric Validation of Similar Distributions and Assessment of Goodness of Fit
inferredcites →https://doi.org/10.1111/rssb.12236openalex-snapshot
Inference for Empirical Wasserstein Distances on Finite Spaces
inferredcites →https://doi.org/10.1111/rssb.12312openalex-snapshot
Approximate Bayesian Computation with the Wasserstein Distance
inferredcites →https://doi.org/10.1111/rssc.12487openalex-snapshot
Likelihood-Free Parameter Estimation for Dynamic Queueing Networks: Case Study of Passenger Flow in an International Airport Terminal
inferredcites →https://doi.org/10.1137/1.9780898719017openalex-snapshot
Empirical Processes with Applications to Statistics
inferredcites →https://doi.org/10.1137/19m1278788openalex-snapshot
Empirical Regularized Optimal Transport: Statistical Theory and Applications
inferredcites →https://doi.org/10.1146/annurev-statistics-030718-104938openalex-snapshot
Statistical Aspects of Wasserstein Distances
inferredcites →https://doi.org/10.1162/neco_a_01501openalex-snapshot
Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension
inferredcites →https://doi.org/10.1198/016214508000000274openalex-snapshot
Trimmed Comparison of Distributions
inferredcites →https://doi.org/10.1198/jasa.2003.s277openalex-snapshot
A User's Guide to Measure-Theoretic Probability
inferredcites →https://doi.org/10.1201/9780429246593openalex-snapshot
An Introduction to the Bootstrap
inferredcites →https://doi.org/10.1201/9781315117195openalex-snapshot
Handbook of Approximate Bayesian Computation
inferredcites →https://doi.org/10.1214/009117906000000070openalex-snapshot
Concentration inequalities and asymptotic results for ratio type empirical processes
inferredcites →https://doi.org/10.1214/12-aihp517openalex-snapshot
On the mean speed of convergence of empirical and occupation measures in Wasserstein distance
inferredcites →https://doi.org/10.1214/12-aos1065openalex-snapshot
Convergence of latent mixing measures in finite and infinite mixture models
inferredcites →https://doi.org/10.1214/14-ba891openalex-snapshot
Sequential Monte Carlo with Adaptive Weights for Approximate Bayesian Computation
inferredcites →https://doi.org/10.1214/18-aop1275openalex-snapshot
Central limit theorems for empirical transportation cost in general dimension
inferredcites →https://doi.org/10.1214/19-aap1463openalex-snapshot
Empirical optimal transport on countable metric spaces: Distributional limits and statistical applications
inferredcites →https://doi.org/10.1214/19-aihp990openalex-snapshot
A Central Limit Theorem for Wasserstein type distances between two distinct univariate distributions
inferredcites →https://doi.org/10.1214/19-aos1936openalex-snapshot
Robust multivariate nonparametric tests via projection averaging
inferredcites →https://doi.org/10.1214/19-ejs1639openalex-snapshot
Hybrid Wasserstein distance and fast distribution clustering
inferredcites →https://doi.org/10.1214/aoms/1177697802openalex-snapshot
The Speed of Mean Glivenko-Cantelli Convergence
inferredcites →https://doi.org/10.1214/aoms/1177728174openalex-snapshot
Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
inferredcites →https://doi.org/10.1214/aop/1176990746openalex-snapshot
The Tight Constant in the Dvoretzky-Kiefer-Wolfowitz Inequality
inferredcites →https://doi.org/10.1214/aos/1017938923openalex-snapshot
Tests of goodness of fit based on the $L_2$-Wasserstein distance
inferredcites →https://doi.org/10.1214/aos/1176344261openalex-snapshot
Strong Approximations of the Quantile Process
inferredcites →https://doi.org/10.1561/2200000073openalex-snapshot
Computational Optimal Transport with Applications to Data Sciences
inferredcites →https://doi.org/10.1561/9781680835519openalex-snapshot
Computational Optimal Transport
inferredcites →https://doi.org/10.2202/1544-6115.1684openalex-snapshot
Bayesian Learning from Marginal Data in Bionetwork Models
inferredcites →https://doi.org/10.2307/2965734openalex-snapshot
Weak Convergence and Empirical Processes
inferredcites →https://doi.org/10.3150/18-bej1065openalex-snapshot
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance
inferredcites →https://doi.org/10.3150/19-bej1151openalex-snapshot
Convergence and concentration of empirical measures under Wasserstein distance in unbounded functional spaces
inferredcites →https://doi.org/10.3150/21-bej1433openalex-snapshot
Estimation of Wasserstein distances in the Spiked Transport Model
inferredcites →https://doi.org/10.3150/23-bej1697openalex-snapshot
A unifying approach to distributional limits for empirical optimal transport
inferredcites →https://doi.org/10.3150/bj/1110228245openalex-snapshot
Asymptotics for L2 functionals of the empirical quantile process, with applications to tests of fit based on weighted Wasserstein distances
inferredcites →https://doi.org/10.3390/e19020047openalex-snapshot
On Wasserstein Two-Sample Testing and Related Families of Nonparametric Tests
inferredcites →https://doi.org/10.48550/arxiv.1502.02558openalex-snapshot
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings
inferredcites →https://doi.org/10.48550/arxiv.1706.03883openalex-snapshot
Multilevel Clustering via Wasserstein Means
inferredcites →https://doi.org/10.48550/arxiv.1802.08855openalex-snapshot
Minimax Distribution Estimation in Wasserstein Distance
inferredcites →https://doi.org/10.48550/arxiv.1804.02526openalex-snapshot
Likelihood-free parameter estimation for dynamic queueing networks: case study of passenger flow in an international airport terminal
inferredcites →https://doi.org/10.48550/arxiv.1807.06796openalex-snapshot
A Central Limit Theorem for $L_p$ transportation cost with applications to Fairness Assessment in Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1808.00973openalex-snapshot
Likelihood-free inference with an improved cross-entropy estimator
inferredcites →https://doi.org/10.48550/arxiv.1901.08949openalex-snapshot
Subspace Robust Wasserstein Distances
inferredcites →https://doi.org/10.48550/arxiv.1902.00342openalex-snapshot
Tree-Sliced Variants of Wasserstein Distances
inferredcites →https://doi.org/10.48550/arxiv.1902.00434openalex-snapshot
Generalized Sliced Wasserstein Distances
inferredcites →https://doi.org/10.48550/arxiv.1905.11505openalex-snapshot
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations
inferredcites →https://doi.org/10.48550/arxiv.1907.04377openalex-snapshot
Convergence Rates for Gaussian Mixtures of Experts
inferredcites →https://doi.org/10.48550/arxiv.1908.10324openalex-snapshot
On the Minimax Optimality of Estimating the Wasserstein Metric
inferredcites →https://doi.org/10.48550/arxiv.2002.07367openalex-snapshot
Distributional Sliced-Wasserstein and Applications to Generative Modeling
inferredcites →https://doi.org/10.48550/arxiv.2002.10399openalex-snapshot
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting
inferredcites →https://doi.org/10.48550/arxiv.2007.13473openalex-snapshot
Limit Laws for Empirical Optimal Solutions in Stochastic Linear Programs
inferredcites →https://doi.org/10.48550/arxiv.2102.06379openalex-snapshot
Central Limit Theorems for General Transportation Costs
inferredcites →https://doi.org/10.70675/2833ed85z6cd3z4115z99bazba760e7494deopenalex-snapshot
Unidimensional and Evolution Methods for Optimal Transportation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4785319openalex-extracted
Context-dependent Causality (the Non-Monotonic Case)
inferred← citeshttps://doi.org/10.1007/978-3-031-85160-5_2openalex-snapshot
Estimation of Wasserstein Distances
inferred← citeshttps://doi.org/10.1007/s00440-025-01408-2openalex-snapshot
A uniform Dvoretzky–Kiefer–Wolfowitz inequality
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110957openalex-snapshot
Data-driven distributionally robust support vector machine method for multiple criteria sorting problem with uncertainty
inferred← citeshttps://doi.org/10.1016/j.jfa.2024.110810openalex-snapshot
Structure preservation via the Wasserstein distance
inferred← citeshttps://doi.org/10.1016/j.jfa.2025.110975openalex-snapshot
Geometry and analytic properties of the sliced Wasserstein space
inferred← citeshttps://doi.org/10.1016/j.spa.2024.104462openalex-snapshot
Empirical optimal transport under estimated costs: Distributional limits and statistical applications
inferred← citeshttps://doi.org/10.1021/acs.jpca.6c02285openalex-snapshot
Experimental Validation of a New Method for Estimating the Hamaker Constants of Solid Materials via Atomic Force Microscopy: Utilizing Both Approach-to-Contact and Pull-Off Deflections
inferred← citeshttps://doi.org/10.1093/imaiai/iaad056openalex-snapshot
Statistical inference with regularized optimal transport
inferred← citeshttps://doi.org/10.1109/isit45174.2021.9518186openalex-snapshot
Two-sample Test using Projected Wasserstein Distance
inferred← citeshttps://doi.org/10.1109/tit.2023.3250099openalex-snapshot
Martingale Methods for Sequential Estimation of Convex Functionals and Divergences
inferred← citeshttps://doi.org/10.1214/23-aap1986openalex-snapshot
Sharp convergence rates for empirical optimal transport with smooth costs
inferred← citeshttps://doi.org/10.1214/23-ejs2211openalex-snapshot
Uniform confidence band for optimal transport map on one-dimensional data
inferred← citeshttps://doi.org/10.1214/24-aos2379openalex-snapshot
Plugin estimation of smooth optimal transport maps
inferred← citeshttps://doi.org/10.1214/25-aos2537openalex-snapshot
Improved learning theory for kernel distribution regression with two-stage sampling
inferred← citeshttps://doi.org/10.1214/26-ejp1491openalex-snapshot
A quantitative Cramér-Wold theorem for Zolotarev distances
inferred← citeshttps://doi.org/10.3150/23-bej1608openalex-snapshot
Central limit theorems for semi-discrete Wasserstein distances
inferred← citeshttps://doi.org/10.48550/arxiv.2003.05783openalex-snapshot
Statistical and Topological Properties of Sliced Probability Divergences
inferred← citeshttps://doi.org/10.48550/arxiv.2006.08172openalex-snapshot
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
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On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification
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Inference for Projection-Based Wasserstein Distances on Finite Spaces
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Leveraging Optimal Transport via Projections on Subspaces for Machine Learning Applications
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