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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.

168,742 papers · 148 categories

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173346519692 · Jun 202019922001200920172026
48 results for group differences

When a solenoid is embedded in three space, its complement is an open three manifold. We discuss the geometry and fundamental groups of such manifolds, and show that the complements of different solenoids (arising from different inverse limits) have different fundamental groups. Embeddings of the same solenoid can give…

2012-12-01abs ↗pdf ↗

New method identifies differences between groups in low-dimensional data representations.

problem Identifying meaningful differences between groups in low-dimensional data representations.
method Introduce Global Counterfactual Explanation (GCE) and Transitive Global Translations (TGT) for computing GCEs.
result TGT identifies sparse, accurate explanations that match real data patterns.

New filling functions for groups with coefficients show different asymptotic behavior.

problem Difficulty in filling loops with surfaces in Cayley graphs.
method Defining homological filling functions with coefficients and proving their differences.
result Filling functions for nn-cycles with coefficients in different groups have distinct asymptotic behavior.

The homological and homotopical Dehn functions are different ways of measuring the difficulty of filling a closed curve inside a group or a space. The homological Dehn function measures fillings of cycles by chains, while the homotopical Dehn function measures fillings of curves by disks. Since the two definitions invo…

2012-05-02abs ↗pdf ↗

The difference between slice and doubly-slice knots is reflected in algebra by the difference between metabolic and hyperbolic Blanchfield linking forms. We exploit this algebraic distinction to refine the classical Witt group of linking forms by defining a `double Witt group' of linking forms. We calculate the double …

2015-08-03abs ↗pdf ↗

Choosing a reference group in Oaxaca-Blinder decomposition can reverse conclusions.

problem The choice of reference group in Oaxaca-Blinder decomposition can lead to different conclusions.
method The study uses the Oaxaca-Blinder decomposition to investigate how the choice of reference group affects the results.
result The Oaxaca-Blinder decomposition can yield different conclusions based on the choice of reference group.

We propose a unified framework in which the different constructions of cohomology groups for topological and Lie groups can all be treated on equal footings. In particular, we show that the cohomology of "locally continuous" cochains (respectively "locally smooth" in the case of Lie groups) fits into this framework, wh…

2011-10-14abs ↗pdf ↗

There are classification tasks that take as inputs groups of images rather than single images. In order to address such situations, we introduce a nested multi-instance deep network. The approach is generic in that it is applicable to general data instances, not just images. The network has several convolutional neural…

2018-08-30abs ↗pdf ↗

Doubly fair dynamic pricing ensures equal prices for different groups over time.

problem Achieving equal prices for different groups in online dynamic pricing.
method Online learning algorithm that balances procedural and substantive fairness.
result Achieves ildeO(T) ilde{O}(\sqrt{T}) regret, zero procedural unfairness, and ildeO(T) ilde{O}(\sqrt{T}) substantive unfairness.

Topological surgery in dimension 33 is intrinsically connected with the classification of 33-manifolds and with patterns of natural phenomena. In this expository paper, we present two different approaches for understanding and visualizing the process of 33-dimensional surgery. In the first approach, we view the proc…

2018-11-20abs ↗pdf ↗

The compact-open topology is minimal on diffeomorphism and homeomorphism groups of most smooth manifolds.

problem The minimality of compact-open topology on diffeomorphism and homeomorphism groups.
method Analyzing the compact-open topology on diffeomorphism and homeomorphism groups of smooth manifolds.
result The compact-open topology is minimal on diffeomorphism and homeomorphism groups of most smooth manifolds.

CST detects discrimination by comparing protected and non-protected individuals with a counterfactual.

problem Detecting discrimination in classifiers using legal fairness conditions.
method Operationalizes fairness given the difference using counterfactual reasoning.
result CST uncovers more discrimination cases than traditional situation testing.

Study of Sasaki groups vs Kähler groups, showing distinct behaviors.

problem Comparing fundamental groups of Sasaki and Kähler manifolds.
method Analysis of properties and behavior of Sasaki groups compared to Kähler groups.
result Sasaki groups exhibit distinct behavior from Kähler groups, not closed under direct products, and have upper bounds on dimension.

In this paper we introduce the framed pure braid group on nn strands of an oriented surface, a topological generalisation of the pure braid group PnP_n. We give different equivalents definitions for framed pure braid groups and we study exact sequences relating these groups with other generalisations of PnP_n, usually…

2010-01-25abs ↗pdf ↗

We propose a novel end-to-end neural network architecture that, once trained, directly outputs a probabilistic clustering of a batch of input examples in one pass. It estimates a distribution over the number of clusters kk, and for each 1kkmax1 \leq k \leq k_\mathrm{max}, a distribution over the individual cluster assignm…

2018-07-11abs ↗pdf ↗

The paper introduces group-representative clustering to ensure fair representation of different groups in clusters.

problem Ensuring fair representation of different groups in clusters.
method Developed a new clustering approach called group-representative clustering, which parallels fairness notions in classification.
result Presented approximation algorithms for group representative kk-median clustering and evaluated on real-world data.

New method finds sparse groups of input variables for neural networks.

problem Finding optimal groups of input variables for neural networks.
method Developed a new loss function and optimization algorithm for multi-layer non-linear neural networks to achieve group sparsity.
result Achieved group sparsity in three real-world datasets, improving model performance and excluding a significant number of variables.

Using the Geometrization Theorem we prove a result on centralizers in fundamental groups of 3-manifolds. This result had been obtained by Jaco and Shalen and by Johannson using different techniques.

2012-05-10abs ↗pdf ↗

Study reveals uniform difference in stretch factors between genus two handlebody group and outer automorphism group.

problem Analyzing the relationship between stretch factors in genus two handlebody group and outer automorphism group.
method Examined natural homomorphism from genus g handlebody group to outer automorphism group of free groups, focusing on pseudo-Anosov mapping classes and their stretch factors.
result Minimum stretch factor in genus two handlebody group is less than ten times the stretch factor of fully irreducible outer automorphism.