Research
On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

Trend · papers per month

35810 · Oct 201919922001200920172026
48 results for wild refitting

New method refines model-free evaluation of complex machine learning models.

problem Evaluating the excess risk of opaque machine learning predictors.
method Perturbing derivatives to create pseudo-outcomes and refitting the model twice.
result Upper bound on excess risk derived efficiently without prior function class knowledge.

The paper tackles model failure detection and refitting in real-world systems.

problem Real-world data often fails statistical models due to heterogeneity.
method Develops tools for detecting and identifying model failures and refitting to improve accuracy.
result Empirical and theoretical results show the effectiveness of the proposed methodology.

We study (i) asymptotic behaviour of wild harmonic bundles, (ii) the relation between semisimple meromorphic flat connections and wild harmonic bundles, (iii) the relation between wild harmonic bundles and polarized wild pure twistor DD-modules. As an application, we show the hard Lefschetz theorem for algebraic semis…

2008-03-10abs ↗pdf ↗

This paper constructs wild knots from beaded necklaces using a Schottky group.

problem Creating wild knots from beaded necklaces and studying their properties.
method Using a Schottky group generated by inversions on spheres to construct wild knots.
result The constructed wild knots are fibered if the original knot is fibered.

Study of wild mapping class groups on complex reflection groups.

problem Understanding deformations of wild Riemann surfaces.
method Construction of configuration spaces and combinatorial fission forests.
result Sharp parameterisation of admissible deformation classes of wild Riemann surfaces.

EVARS-GPR refines Gaussian Process Regression for seasonal data with sudden scale changes.

problem Challenges in forecasting with changing system behavior over time.
method Combines online change point detection with data augmentation for refitting.
result 20.8% lower RMSE on real-world datasets compared to similar methods.

Study of wild mapping class groups and their cabled braids.

problem Understanding the structure of wild mapping class groups and their cabled versions.
method Define and study generalizations of pure g\mathfrak{g}-braid groups, establish product decompositions, and introduce fission trees.
result Obtain cabled versions of braid groups, related to braid operads.

The Gauss-Bonnet formula for classical translation surfaces relates the cone angle of the singularities (geometry) to the genus of the surface (topology). When considering more general translation surfaces, we observe so-called wild singularities for which the notion of cone angle is not applicable any more. We study w…

2014-10-06abs ↗pdf ↗

LoD improves model safety by integrating unlabeled wild data, reducing OOD misclassification.

problem Improving model safety and reliability using unlabeled wild data containing both in-distribution and out-of-distribution samples.
method Intentionally label-noisifying unlabeled wild data to enable joint learning of labeled ID and OOD data, distinguishing losses between ID and OOD samples.
result LoD framework achieves superior OOD detection without requiring thresholds, improving model safety.

Ribbon: Scalable Approximation and Robust Uncertainty Quantification

problem Reliably quantifying predictive uncertainty for complex models
method Ribbon, a scalable approximation to Dirichlet-reweighted bootstrap uncertainty
result Asymptotically equivalent to a flat-prior Laplace approximation under correct likelihood specification, recovers robust sandwich covariance under misspecification

The paper proposes a method to improve fairness in machine learning models without refitting.

problem Mitigating biases in machine learning models that disadvantage certain groups.
method Infinitesimal jackknife-based approach to drop selected training data points.
result The intervention improves fairness without significantly reducing predictive performance.

In this paper we study kleinian groups of Schottky type whose limit set is a wild knot in the sense of Artin and Fox. We show that, if the ``original knot'' fibers over the circle then the wild knot ΛΛ also fibers over the circle. As a consequence, the universal covering of S3Λ\mathbb{S}^{3}-Λ is R3\mathbb{R}^{3}. We p…

2005-09-06abs ↗pdf ↗

We prove the Kobayashi-Hitchin correspondence between good wild harmonic bundles and polystable good filtered λλ-flat bundles satisfying a vanishing condition. We also study the correspondence for good wild harmonic bundles with the homogeneity with respect to a group action, which is expected to provide another way t…

2019-02-21abs ↗pdf ↗

Classification is an important statistical learning tool. In real application, besides high prediction accuracy, it is often desirable to estimate class conditional probabilities for new observations. For traditional problems where the number of observations is large, there exist many well developed approaches. Recentl…

2016-07-19abs ↗pdf ↗

In this paper we prove that a wild knot KK which is the limit set of a Kleinian group acting conformally on the unit 3-sphere, with its standard metric, is homogeneous: given two points p,qKp, q\in{K} there exists a homeomorphism ff of the sphere such that f(K)=Kf(K)=K and f(p)=qf(p)=q. We also show that if the wild knot is a …

2005-08-26abs ↗pdf ↗

Proposes joint LCA for multiview data to identify shared and view-specific components.

problem Extracting shared components sequentially from multiview data.
method Formulates a matrix decomposition model with joint and individual structures, proposes a penalty term objective function, and employs a refitting procedure.
result Achieves simultaneous estimation and rank selection for cross covariance.

A wild bootstrap method for nonparametric hypothesis tests based on kernel distribution embeddings is proposed. This bootstrap method is used to construct provably consistent tests that apply to random processes, for which the naive permutation-based bootstrap fails. It applies to a large group of kernel tests based on…

2014-08-23abs ↗pdf ↗

Let CC and DD be a pair of crumpled nn-cubes and hh a homeomorphism of Bd C\text{Bd }C to Bd D\text{Bd }D for which there exists a map fh:CDf_h: C\to D such that fhBd C=hf_h|\text{Bd }C =h and fh1(Bd D)=Bd Cf_{h}^{-1}(\text{Bd }D)=\text{Bd }C. In our view the presence of such a triple (C,D,h)(C,D,h) suggests that CC is "at least as wild as" $D…

2014-11-10abs ↗pdf ↗

Human affect recognition is an essential part of natural human-computer interaction. However, current methods are still in their infancy, especially for in-the-wild data. In this work, we introduce our submission to the Affective Behavior Analysis in-the-wild (ABAW) 2020 competition. We propose a two-stream aural-visua…

2020-02-09abs ↗pdf ↗

4-manifolds have special topological properties which can be used to get a different view on quantum mechanics. One important property (connected with exotic smoothness) is the natural appearance of 3-manifold wild embeddings (Alexanders horned sphere) which can be interpreted as quantum states. This relation can be co…

2018-11-11abs ↗pdf ↗

Algorithm describes Fourier transform of Stokes data at infinity.

problem Understanding the Fourier transform of Stokes data at infinity.
method Topological description and algorithmic approach using recent results and language of Stokes local systems.
result Explicit isomorphisms between wild character varieties are induced.

Let ΣΣ be a connected, oriented surface with punctures and negative Euler characteristic. We introduce wild globally hyperbolic anti-de Sitter structures on Σ×RΣ\times \mathbb{R} and provide two parameterisations of their deformation space: as a quotient of the product of two copies of the Teichmüller space of crowned …

2019-01-01abs ↗pdf ↗

The Ooguri-Vafa space is a 4-dimensional incomplete hyperkähler manifold, defined on the total space of a singular torus fibration with one singular nodal fiber. It has been proposed that the Ooguri-Vafa hyperkähler metric should be part of the local model of the hyperkähler metric of the Hitchin moduli spaces, near th…

2019-11-30abs ↗pdf ↗

Automatic understanding of human affect using visual signals is a problem that has attracted significant interest over the past 20 years. However, human emotional states are quite complex. To appraise such states displayed in real-world settings, we need expressive emotional descriptors that are capable of capturing an…

2018-11-11abs ↗pdf ↗

The extended Wild sums considered in this article generalize the classi- cal Wild sums of statistical physics. We first show how to obtain explicit solutions for the evolution equation of a large system where the interactions are given by a single, but general, interacting kernel which involves m components, for a fixe…

2015-03-10abs ↗pdf ↗