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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.

168,657 papers · 148 categories

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336699132 · May 202619922001200920172026
48 results for distinct counting

MaxSketch improves distinct counting in high-dimensional, noisy data streams.

problem Estimating distinct elements in high-dimensional, noisy data streams.
method MaxSketch uses random Gaussian projections to estimate distinct counts.
result MaxSketch achieves (1+ε)(1+\varepsilon) factor estimation with m=O~(logn/ε2)m = \widetilde{O} (\log n/\varepsilon^2) random projections.

The paper explores privacy-preserving methods for counting unique elements in distributed settings.

problem Counting unique elements in a distributed setting while maintaining privacy.
method Analyzes and proves lower bounds for differentially private protocols in various settings.
result Achieves optimal error bounds for multi-message shuffle protocols in estimating distinct elements.

The seemingly disjoint problems of count and mixture modeling are united under the negative binomial (NB) process. A gamma process is employed to model the rate measure of a Poisson process, whose normalization provides a random probability measure for mixture modeling and whose marginalization leads to an NB process f…

2012-09-15abs ↗pdf ↗

We count the supersymmetric bound states of many distinct BPS monopoles in N=4 Yang-Mills theories and in pure N=2 Yang-Mills theories. The novelty here is that we work in generic Coulombic vacua where more than one adjoint Higgs fields are turned on. The number of purely magnetic bound states is again found to be cons…

2000-05-30abs ↗pdf ↗

The study reveals a persistent bias in the distribution of holonomy on compact hyperbolic 3-manifolds.

problem The distribution of holonomy on compact hyperbolic 3-manifolds is not uniformly distributed.
method An asymptotic count of closed geodesics by their length and holonomy, and analysis of spectral parameters.
result A normalized, smoothed bias count of holonomy is distributed according to a probability distribution, controlled by the number of zero spectral parameters.

We tackle anomaly detection in sparse time series data.

problem Sparse time series with low signal-to-noise ratios and non-uniform performance.
method We introduce a novel generative procedure for benchmark datasets and demonstrate how anomaly score smoothing improves performance.
result Anomaly score smoothing consistently improves performance in low-count time series anomaly detection.

New method counts boundary pieces in ReLU classifiers for better complexity measure.

problem Current classification complexity measures are misleading and ineffective.
method Developed a novel method using tropical geometry to count exact boundary pieces.
result Boundary piece count is negatively correlated with robustness.

The paper develops methods to estimate frequencies in large discrete data sets with improved coverage and robustness.

problem Estimating frequencies in large, discrete data sets with valid coverage and robustness.
method Conformal inference methods using discrete sketches, marginal coverage for queries, and novel conformal calibration.
result Improved empirical performance compared to existing methods in simulations and real data.

For a semisimple real Lie group GG, we study topological properties of moduli spaces of polystable parabolic GG-Higgs bundles over a Riemann surface with a divisor of finitely many distinct points. For a split real form of a complex simple Lie group, we compute the dimension of apparent parabolic Teichm{ü}ller compon…

2018-06-03abs ↗pdf ↗

Let KK be a polygonal knot in general position with vertex set VV. A \emph{generic quadrisecant} of KK is a line that is disjoint from the set VV and intersects KK in exactly four distinct points. We give an upper bound for the number of generic quadrisecants of a polygonal knot KK in general position. This upper…

2015-02-10abs ↗pdf ↗

Firms miscount their customers who stop buying without saying goodbye.

problem Counting non-contractual customers accurately.
method Estimating repeat purchase probabilities and extrapolating to infinite time.
result The count of alive customers is only partially identified, with a wide range of estimates.

We extend asymptotic formulas for saddle connections on translation surfaces.

problem Counting saddle connections on translation surfaces with large genus.
method Recursive formulas and asymptotic analysis for all strata and multiplicities.
result Asymptotics for all saddle connections on translation surfaces of growing genus.

A faster Bayesian method for estimating spatial count data models.

problem Bayesian estimation of spatial count data models is computationally expensive and slow.
method Derive a Variational Bayes (VB) method for posterior inference in negative binomial models with spatial dependence.
result The VB method is up to 50 times faster than MCMC and offers similar accuracy.

By developing data augmentation methods unique to the negative binomial (NB) distribution, we unite seemingly disjoint count and mixture models under the NB process framework. We develop fundamental properties of the models and derive efficient Gibbs sampling inference. We show that the gamma-NB process can be reduced …

2012-09-05abs ↗pdf ↗

We propose a deep amortized clustering (DAC), a neural architecture which learns to cluster datasets efficiently using a few forward passes. DAC implicitly learns what makes a cluster, how to group data points into clusters, and how to count the number of clusters in datasets. DAC is meta-learned using labelled dataset…

2019-09-30abs ↗pdf ↗

We show that if a f.g. group GG has a non-elementary WPD action on a hyperbolic metric space XX, then the number of GG-conjugacy classes of XX-loxodromic elements of GG coming from a ball of radius RR in the Cayley graph of GG grows exponentially in RR. As an application we prove that for N3N\ge 3 the number of…

2017-07-22abs ↗pdf ↗

We develop a recursive formula for counting the number of rectangulations of a square, i.e the number of combinatorially distinct tilings of a square by rectangles. Our formula specializes to give a formula counting generic rectangulations, as analyzed by Reading in [5]. Our computations agree with [5] as far as was ca…

2012-04-25abs ↗pdf ↗

In this paper we consider the large genus asymptotics for two classes of Siegel-Veech constants associated with an arbitrary connected stratum H(α)\mathcal{H} (α) of Abelian differentials. The first is the saddle connection Siegel-Veech constant cscmi,mj(H(α))c_{\text{sc}}^{m_i, m_j} \big( \mathcal{H} (α) \big) counting saddle conne…

2018-10-11abs ↗pdf ↗

Enhanced symplectic quandle colorings detect causal structure in spacetime diagrams.

problem Detecting causal structure in spacetime diagrams using polynomial invariants.
method Comparing symplectic quandle colorings of different diagrams representing spacetime connections.
result Enhanced symplectic quandle colorings consistently distinguish between causally unrelated and related spacetime configurations.

Flow Matching for count data improves sample quality and efficiency.

problem Mapping between count distributions across batches or time points in high-dimensional count data.
method count-FM, a flow-matching framework based on a continuous-time birth-death process with local unit jumps.
result count-FM achieves better sample quality than representative baselines while using fewer parameters.

The study shows that symplectic Lefschetz fibrations can have infinitely many sections.

problem The finiteness of sections in Lefschetz fibrations.
method General criterion and examples for symplectic Lefschetz fibrations with infinitely many sections.
result Symplectic Lefschetz fibrations can have infinitely many homologically distinct sections.

Researchers found all embeddings of Kuratowski graphs on a double torus.

problem Characterizing embeddings of Kuratowski graphs K3,3K_{3,3} and K5K_5 on the double torus.
method Constructive approach using Burnside's Lemma and automorphism groups.
result 14 orientable and 17 non-orientable 2-cell embeddings of K5K_5 on the double torus.

Finite resources limit false discovery rate control in structured hypothesis spaces.

problem Controlling false discovery rate in hypothesis testing with finite data and structured hypothesis spaces.
method Framework for exact FDR control and adaptive power maximization.
result Exact FDR control and adaptive power maximization.

A new method, Count-MORL, improves offline reinforcement learning by using state-action frequency.

problem Improving offline reinforcement learning performance.
method Integrates count-based conservatism into model-based offline reinforcement learning.
result The learned policy is near-optimal and outperforms existing methods.

Proposes a method to reconcile count time series forecasts.

problem No formal framework for probabilistic reconciliation of count time series.
method Generalizes Bayes' rule for reconciling real-valued and count variables.
result Improves forecast accuracy for count variables compared to Gaussian reconciliation.

The paper proposes count echo state networks for forecasting graduate student enrollments.

problem Forecasting graduate student enrollments from historical data.
method Developed hierarchical count echo state networks and compared them to Poisson autoregressions and negative binomial models.
result Hierarchical negative binomial based echo state network is the superior model.

Counted essential surfaces in a knot's exterior, finding a unique pattern.

problem Counting essential surfaces in a knot's exterior.
method Counted essential surfaces by genus, using Euler totient function. Showed normal surfaces are connected by counting their components. Used Agol, Hass, and Thurston's tools to convert component counting into orbit counting.
result Found a unique pattern in the number of essential surfaces by genus.

Counting objects in digital images is a process that should be replaced by machines. This tedious task is time consuming and prone to errors due to fatigue of human annotators. The goal is to have a system that takes as input an image and returns a count of the objects inside and justification for the prediction in the…

2017-03-25abs ↗pdf ↗

Better neural arithmetic logic units improve cell counting model generalization.

problem Neural networks struggle with high cell counts outside training data range.
method Introduced Neural Arithmetic Logic Units (NALU) for arithmetic operations in existing architectures.
result Improved cell counting accuracy for higher numeric ranges with better generalization.

Estimates point counts in Teichmüller space for mapping class groups.

problem Counting points in Teichmüller space under mapping class group actions.
method Quantitative estimates with power saving error terms for Teichmüller metric balls.
result Effectivizes asymptotic counting results of Athreya et al.

To a branched cover f between orientable surfaces one can associate a certain branch datum D(f), that encodes the combinatorics of the cover. This D(f) satisfies a compatibility condition called the Riemann-Hurwitz relation. The old but still partly unsolved Hurwitz problem asks whether for a given abstract compatible …

2019-01-24abs ↗pdf ↗