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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.

168,695 papers · 148 categories

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16.7%33.3%50.0%66.7% · Jul 199219922001200920172026
48 results for negative examples

The study investigates the impact of negative examples in contrastive learning.

problem Understanding how the number of negative examples affects downstream performance in contrastive learning.
method Theoretical analysis and empirical evaluation of NLP and vision tasks.
result The optimal number of negative examples should scale with the number of underlying concepts in the data.

This paper shows how optimizing with hard negative examples improves image retrieval.

problem Training with hard negative examples leads to poor training behavior.
method Characterize the space of triplets, derive why hard negatives fail, and offer a fix to the loss function.
result Optimizing with hard negative examples leads to more generalizable features and better image retrieval.

New method learns from either positive or negative feedback alone.

problem Limited applicability of existing preference optimization methods in scenarios with only unpaired feedback.
method Decouples learning from positive and negative feedback, using expectation-maximization (EM) to optimize probability of positive outcomes and explicitly incorporate negative examples.
result Stable learning from negative feedback alone demonstrated.

The Wu-Yau theorem is verified for negative curvature, and new examples of Kähler-Einstein metrics are found.

problem The Wu-Yau theorem and its positive analog.
method Examples and conjectures to verify the Wu-Yau theorem and its positive analog.
result New examples of Kähler-Einstein metrics without negative holomorphic sectional curvature.

Computational approaches to transcription factor binding site identification have been actively researched for the past decade. Negative examples have long been utilized in de novo motif discovery and have been shown useful in transcription factor binding site search as well. However, understanding of the roles of nega…

2011-04-07abs ↗pdf ↗

Novel neural likelihood ratio estimation for negative data in particle physics.

problem Estimating likelihood ratios with negative probability densities and weights.
method Introducing a novel loss function and a new model architecture based on signed mixture models.
result Demonstrated improved estimation on a real-world example from particle physics.

Paper proposes a new loss function for PU learning without negative examples.

problem Traditional machine learning struggles with negative examples, leading to biased predictions.
method Developed a collective loss function (cPU) for positive and unlabeled data.
result The cPU consistently outperforms existing methods in PU learning benchmarks and real-world datasets.

The paper proposes methods to estimate positive examples and learn classifiers from mixed data.

problem Estimating the proportion of positive examples and learning classifiers from a mixture of positive and unlabeled data.
method Best Bin Estimation (BBE) for Mixture Proportion Estimation and Conditional Value Ignoring Risk (CVIR) for PU-learning.
result The proposed methods significantly improve both mixture proportion estimation and classifier learning.

Classifies Einstein metrics on R^4 with Heisenberg symmetry, finding incomplete Ricci-flat metrics and two complete negative-curvature examples.

problem Classifying Einstein metrics on R4\mathbb{R}^4 with Heisenberg symmetry.
method Invariant under a four-dimensional group of isometries including the Heisenberg group, analyzing Ricci-flat and negative-curvature metrics.
result Found two complete negative-curvature examples: complex hyperbolic metric and one-loop deformed universal hypermultiplet.

It was asked by J.Birman, Williams, and L.Rudolph whether nontrivial Lorentz knots have always positive signature. Lorentz knots are examples of positive braids (in our convention they have all crossings negative so they are negative links). It was shown by L.Rudolph that positive braids have positive signature (if the…

2009-05-06abs ↗pdf ↗

This paper proves equivalences of portfolio optimization problems with negative expectile and omega ratio. We derive subgradients for the negative expectile as a function of the portfolio from a known dual representation of expectile and general theory about subgradients of risk measures. We also give an elementary der…

2019-10-30abs ↗pdf ↗

New Einstein metrics found from para-Sasaki-like Riemannian manifolds.

problem Finding new Einstein metrics in Riemannian geometry.
method Cone construction and hyperbolic extension of paracontact paracomplex Riemannian manifolds.
result New complete Einstein para-Sasaki-like Riemannian manifolds with negative scalar curvature.

We provide in this note two relevant examples of Lagrangian cobordisms. The first one gives an example of two exact Lagrangian submanifolds which cannot be composed in an exact fashion. The second one is an example of an exact Lagrangian cobordism on which all primitive of the Liouville form is not constant on the nega…

2013-01-29abs ↗pdf ↗

A simplicial complex is called negatively curved if all its simplices are isometric to simplices in hyperbolic space, and it satisfies Gromov's Link Condition. We prove that, subject to certain conditions, a compact graph of spaces whose vertex spaces are negatively curved 2-complexes, and whose edge spaces are points …

2015-10-09abs ↗pdf ↗

Paper examines floating exercise boundaries for American options in time-inhomogeneous models.

problem Floating exercise boundaries in time-inhomogeneous models with negative interest rates or yields.
method Semi-analytical approach for pricing American options.
result Specialized pricing methodologies are required for models with floating exercise boundaries.

New unsupervised method selects hard negative samples for contrastive learning.

problem How to select good negative examples for contrastive learning without using true similarity information.
method Developed a new family of unsupervised sampling methods for hard negative selection.
result Improves downstream performance across multiple modalities.

Ricci flow deforms metrics with positive curvature to include negative curvature.

problem Preserving positive sectional curvature under Ricci flow in dimension four.
method Evolved cohomogeneity one metrics on S4S^4 and CP2\mathbb C P^2 via Ricci flow.
result Metrics with positive sectional curvature lose this property under Ricci flow.

Until a couple of years ago, the only known examples of Lie groups admitting left-invariant metrics with negative Ricci curvature were either solvable or semisimple. We use a general construction from a previous article of the second named author to produce a great amount of examples with compact Levy factor. Given a c…

2019-05-29abs ↗pdf ↗

The paper introduces negative controls to evaluate causal discovery algorithms, improving their reliability.

problem Lack of a general guideline for evaluating causal discovery algorithms.
method Derive exact distributional results under random guessing for evaluation metrics and propose a pipeline for using negative controls.
result Evaluation metrics can achieve very favorable values under random guessing, highlighting the need for negative control results.

Unified framework for word embedding models using noise examples.

problem Improving word embedding models with negative sampling.
method Formulated a Word-Context Classification (WCC) framework that generalizes SkipGram word embedding models.
result The best noise distribution is the data distribution, improving both performance and training speed.

In this paper we prove that for all n=4k2n=4k-2, k2k\ge2 there exists closed nn-dimensional Riemannian manifolds MM with negative sectional curvature that do not have the homotopy type of a locally symmetric space, such that π1(T<0(M))π_{1}(\mathcal{T}^{<0}(M)) is non-trivial. T<0(M)\mathcal{T}^{<0}(M) denotes the Teichmüller space…

2013-11-22abs ↗pdf ↗

The study proves Lieb-Thirring inequalities on hyperbolic manifolds.

problem Proving Lieb-Thirring inequalities on manifolds with negative constant curvature.
method Analytical proof of inequalities on hyperbolic manifolds.
result Discrete spectrum below the continuous spectrum (d1)2/4,)(d-1)^2/4, \infty).

We give conceptual proofs of some well known results concerning compact non-positively curved locally symmetric spaces. We discuss vanishing and non-vanishing of Pontrjagin numbers and Euler characteristics for these locally symmetric spaces. We also establish vanishing results for Stiefel-Whitney numbers of (finite co…

2004-10-05abs ↗pdf ↗

We construct new homogeneous Einstein spaces with negative Ricci curvature in two ways: First, we give a method for classifying and constructing a class of rank one Einstein solvmanifolds whose derived algebras are two-step nilpotent. As an application, we describe an explicit continuous family of ten-dimensional Einst…

1999-08-17abs ↗pdf ↗

Let NN be a smooth manifold that is homeomorphic but not diffeomorphic to a closed hyperbolic manifold MM. In this paper, we study the extent to which NN admits as much symmetry as MM. Our main results are examples of NN that exhibit two extremes of behavior. On the one hand, we find NN with maximal symmetry, i.e…

2019-01-03abs ↗pdf ↗

Study properties of solutions with singularities in the negative cone.

problem Properties of solutions with singularities in the negative cone.
method Proved PDE for trace and normal derivatives, showed hypersurface is minimal for k=2.
result Hypersurface is minimal for k=2 and satisfies certain PDE.