Paper defines new risk measures for elliptical distributions.
problem Risk measurement for elliptical distributions.
method DTM, DTS, DTK definitions and formula derivation for specific distributions.
result Explicit formulas for DTE, DTV, DTS, and DTK for various distributions.
The paper calculates moments and conditional risks for skewed elliptical distributions.
problem Estimating moments and tail conditional risks for skewed elliptical distributions.
method Derives explicit expressions for multivariate doubly truncated moments and conditional risks for generalized skew-elliptical distributions.
result Explicit formulas for multivariate doubly truncated moments and conditional risks are derived for various skewed elliptical distributions.
Improves SSL with doubly robust estimation of unlabeled class distribution.
problem Limited labeled data and long-tailed class distributions in unlabeled data.
method Explicitly estimate unlabeled class distribution using doubly robust estimator.
result Improves performance of SSL methods on unlabeled data.
New method for unbiased sampling of doubly-intractable distributions.
problem Hard computation of normalizing constants for complex probability distributions.
method Adapting random series truncation and Markov chain coupling for unbiased estimation of 1/Z.
result Estimators with lower variance and higher positive estimates.
A new method improves inference for complex Bayesian models.
problem Bayesian inference for doubly intractable distributions is computationally challenging.
method Monte Carlo Stein variational gradient descent (MC-SVGD) approach.
result The method achieves substantial computational gains over existing algorithms.
New tests for distributional causal effects using improved kernel estimators.
problem Testing for higher-order moments and multidimensional outcomes affected by treatment.
method Improved kernel estimators based on doubly robust mean embeddings.
result New permutation-based tests for distributional causal effects with improved convergence rates.
A new MCMC method tackles doubly intractable posterior problems.
problem Sampling from complicated distributions with doubly intractable posterior.
method Multi-armed Bandit MCMC (MABMC) algorithm.
result MABMC achieves higher average acceptance probability than existing methods.
CPME embeds counterfactual outcomes in RKHS for flexible policy evaluation.
problem Estimating counterfactual policy outcomes for decision-making.
method Counterfactual Policy Mean Embedding (CPME) framework in RKHS, plug-in and doubly robust estimators, kernel test statistic.
result Doubly robust estimator improves convergence rates and asymptotic normality.
New algorithms optimize machine learning with both features and observations distributed across a cluster.
problem Optimizing machine learning with both features and observations distributed across a cluster.
method Proposes two doubly distributed optimization algorithms: one based on distributed dual coordinate ascent, the other on stochastic gradient/coordinate descent hybrid methods.
result Demonstrates the out-performance of a block distributed ADMM method in numerical experiments.
Estimates and tests treatment effects on entire outcome distributions.
problem Treatment effects on entire outcome distributions, not just averages.
method Proposes a novel estimand and doubly robust estimator, develops a test.
result First test with provably valid type 1 error guarantees in this setting.
New test for binary treatment effects using kernel methods.
problem Testing distributional effects of binary treatments.
method Kernel-based doubly-robust test, avoiding permutations.
result Valid type-I error with computational efficiency.
Estimates exponential family distributions using a novel doubly dual embedding technique.
problem Estimating exponential family distributions with smoothness and efficiency.
method Doubly dual embedding for avoiding partition function computation and flexible sampling.
result Improves memory and time efficiency while offering stronger statistical properties.
Improved off-policy evaluation for MDPs with weak distributional overlap.
problem Evaluation of policies when target and data-collection distributions are not strongly overlapping.
method Truncated Doubly Robust (TDR) estimators for off-policy evaluation in MDPs under weak distributional overlap.
result TDR estimators can recover large-sample behavior and are consistent even when distribution ratios are not square-integrable.
New estimator for causal effects in large datasets.
problem Unobserved confounding in large-scale data.
method Doubly robust estimator combining imputation, IPW, and cross-fitting.
result Error converges to Gaussian distribution at parametric rate.
Proposes DR-ME test for interpretable distributional treatment effects.
problem Detects invisible differences in treatment effects on distributional outcomes.
method Semiparametrically efficient finite-location test using kernel witnesses and orthogonal features.
result DR-ME reveals causal-discrepancy coordinates and has noncentral chi-square local power.
This paper discusses properties of a Doubly Stochastic Poisson Process (DSPP) where the intensity process belongs to a class of affine diffusions. For any intensity process from this class we derive an analytical expression for probability distribution functions of the corresponding DSPP. A specification of our results…
New test for conditional independence using GNNs avoids estimating conditional distributions.
problem Testing conditional independence of X X X and Y Y Y given Z Z Z . method Proposes a non-parametric testing procedure using GNNs to sample from marginal conditional distributions.
result Test statistic is doubly robust against GNN approximation errors.
New SMC methods improve likelihood estimates for doubly intractable models.
problem Bayesian inference for models with intractable partition functions.
method Marginal sequential Monte Carlo with adaptive likelihood estimates.
result Improved likelihood estimates lead to more accurate inference.
The paper examines Einstein doubly warped product manifolds with a semi-symmetric metric connection.
problem Characterizing Einstein doubly warped product manifolds with a semi-symmetric metric connection.
method Deriving curvature formulas and proving necessary and sufficient conditions for a manifold to be a warped product.
result Obtained results for Einstein doubly warped product manifolds and Einstein-like doubly warped product manifolds.
Proposes a robust method for counterfactual classification.
problem Decision-making under hypothetical scenarios.
method Doubly-robust nonparametric estimator for counterfactual classification.
result Robust against nuisance model misspecification, can attain fast n \sqrt{n} n rates. Characterizes spacetimes using doubly torqued vectors.
problem Classifying spacetimes based on their geometric properties.
method Characterization through doubly torqued vectors and their properties.
result Doubly twisted and Kundt spacetimes can be characterized.
New invariant measures doubly slice links, disproving previous bounds.
problem Understanding doubly slice links and their invariants.
method Introduced new invariant g s t g_{st} g s t to measure doubly slice links and disproved previous bounds. result Examples of links with large doubly slice genus but g s t = 1 g_{st}=1 g s t = 1 . Characterizes a specific type of spacetime using vector fields.
problem Classifying a specific type of spacetime.
method Using vector fields to characterize 1+n doubly twisted spacetimes.
result Simple classification of 1+n doubly-twisted spacetimes.
Study shows vanishing correction terms for doubly slice knots.
problem Understanding doubly slice knots and their properties.
method Analyzing connected sums of knots with coprime Alexander polynomials and using Ozsváth-Szabó correction terms.
result Correction terms vanish for doubly slice knots, providing new insights.
Characterizes and examines gradient solitons on doubly warped product manifolds.
problem Understanding gradient solitons on specific manifold structures.
method Characterizations and examinations of various types of gradient solitons on doubly warped product manifolds.
result Effects of gradient solitons on factor manifolds and specific curvature properties of doubly warped products.
This paper develops the Jungle model in a credit portfolio framework. The Jungle model is able to model credit contagion, produce doubly-peaked probability distributions for the total default loss and endogenously generate quasi phase transitions, potentially leading to systemic credit events which happen unexpectedly …
The article enumerates doubly symmetric diagrams for knots up to 18 crossings.
problem Enumerating doubly symmetric diagrams for knots.
method Developed an enumeration strategy for prime knots given by doubly symmetric diagrams.
result Determined all cases of doubly symmetric diagrams up to 18 crossings.
Proposes DR-ACI for causal effect intervals with temporal dependence.
problem Causal effect intervals under temporal dependence.
method Doubly robust adaptive conformal inference (DR-ACI).
result Constructs prediction intervals for causal effects.
A large number of statistical models are "doubly-intractable": the likelihood normalising term, which is a function of the model parameters, is intractable, as well as the marginal likelihood (model evidence). This means that standard inference techniques to sample from the posterior, such as Markov chain Monte Carlo (…
Simplified tutorial on doubly robust learning for causal inference.
problem Challenges in applying doubly robust methods due to complexity and software barriers.
method Combines propensity score and outcome modeling for robust causal inference.
result Makes doubly robust learning accessible through simplified methodology and practical examples.
Proves conditions for odd pretzel knots to be doubly slice.
problem Identifying conditions for odd pretzel knots to be doubly slice.
method Analyzes knots with specific twist parameters and odd integers.
result Identifies all doubly slice odd pretzel knots.
Study of conformal vector fields on specific manifolds and their applications.
problem Understanding conformal vector fields on doubly warped product manifolds.
method Complete study of two classes of conformal vector fields and Ricci solitons.
result Characterization of conformal vector fields and their properties.
BiDVL improves EBLVMs for visual tasks by optimizing two variational distributions.
problem Training EBLVMs is challenging due to intractable distributions.
method Bi-level doubly variational learning with two tractable distributions.
result BiDVL achieves impressive image generation and reconstruction performance.
Enhances machine learning generalization with DD-R-DRO method.
problem Improving machine learning generalization and reducing testing error.
method Doubly robust data-driven distributionally robust optimization (DD-R-DRO) method.
result Reduces testing error relative to state-of-the-art classifiers.
This paper establishes non-asymptotic learning bounds for the DR covariate shift adaptation.
problem Distribution shift between training and test domains in machine learning.
method Doubly-robust (DR) estimator combining density ratio estimation and pilot regression model.
result First non-asymptotic learning bounds for DR covariate shift adaptation.
New model improves DNA methylation data analysis.
problem Analyzing DNA methylation data with complex distributions.
method Doubly non-central beta (DNCB) distribution for non-negative matrix factorization.
result Improves predictive performance and yields meaningful latent representations.
Study examines properties of a specific type of geometric immersion.
problem Understanding geometric properties of doubly twisted product immersions.
method Established basic geometric properties through analysis.
result Basic geometric properties of doubly twisted product immersions have been identified.
Identifies doubly slice genera for 2909 prime knots with up to 12 crossings.
problem Determining the doubly slice genera of prime knots.
method Identifies the minimal genus g g g for each knot K K K that divides a surface in S 4 S^4 S 4 . result Identified the doubly slice genera for 2909 prime knots with up to 12 crossings.
Researchers prove the existence of new doubly periodic minimal surfaces with specific properties.
problem Proving the existence of new doubly periodic minimal surfaces with specific properties.
method Using Traizet's regeneration method, the researchers constructed families of embedded, doubly periodic minimal surfaces.
result For each positive integer n, there is a family of embedded, doubly periodic minimal surfaces with parallel ends in Euclidean space of genus 2n-1 and 4 ends in the quotient by the maximal group of translations.
This paper uses distributional distances to estimate causal effects more comprehensively.
problem Estimating nuanced causal effects beyond simple averages.
method Distributional distances, doubly robust estimator, L q L_q L q risks, bootstrap confidence intervals. result Proposed methods provide reliable estimates of causal effects.
New differential equation generates more doubly periodic minimal surfaces.
problem Finding new doubly periodic minimal surfaces.
method Derived a differential equation equivalent to balance equations.
result Generates many more solutions to balance equations.
The paper shows some Montesinos links can't be doubly sliced strongly.
problem Understanding double sliceness for Montesinos links.
method Using branched double covers and Seifert fibered spaces.
result A large family of Montesinos links are not strongly doubly slice.
Hamiltonian cycles found in toroidal maps.
problem Hamiltonicity of doubly semi-equivelar maps on the torus.
method Analyzing 2-uniform tilings of the plane to derive Hamiltonian cycles.
result Every doubly semi-equivelar map on the torus contains a Hamiltonian cycle.
New lower bound for doubly slice genus using knot signatures.
problem Finding a lower bound for the doubly slice genus of knots.
method Using the classical signature function to derive a new lower bound.
result Proved that for every nonnegative integer N, there exists a knot with exactly N difference between slice and doubly slice genus.
Develops a new knot theory invariant for doubly-slice knots.
problem Defines an invariant for doubly-slice knots in high-dimensional knot theory.
method Introduces double L L L -groups and applies them to knot theory. result Proves the 'stably doubly-slice implies doubly-slice' property for various knot forms.
Commentary on Teichmüller's 1938 paper on conformal and quasiconformal mappings.
problem Investigations into conformal and quasiconformal mappings and their applications.
method Detailed development of conformal invariants and applications in value distribution theory.
result Insures the almost circularity of certain loci and the circularity near infinity of quasiconformal maps.
We extend classification of doubly slice knots up to 12 crossings.
problem Classifying doubly slice knots with low crossing numbers.
method Alexander module, signature functions, and twisted Alexander polynomials for higher-order branched covers.
result Resolved all but four cases among 2,977 prime knots up to 12 crossings.
In this paper we study fundamental geometric properties of doubly warped product immersion which is an extension of warped product immersion. Moreover, we study geometric inequality for doubly warped products isometrically immersed in arbitrary Riemannian manifolds.