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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.

169,181 papers · 148 categories

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1234 · Aug 201819922001200920182026
48 results for Zeno's Paradox

CPDOs can't achieve a Cash-In event in finite tosses, mirroring Zeno's Paradox.

problem The impossibility of achieving a Cash-In event in CPDOs, mirroring Zeno's Paradox.
method Coin-tossing model and analysis of infinite geometric series.
result CPDOs can't achieve a Cash-In event in a finite lifetime, mirroring Zeno's Paradox.

Unified HDP and LDA models for efficient topic clustering of online course queries.

problem Efficiently cluster and answer subject-specific online course queries.
method Use Hierarchical Dirichlet Process (HDP) to optimize topic number for Latent Dirichlet Allocation (LDA) model runs.
result Achieve optimal clustering efficiency by recursively applying LDA on effective topics.

Zeno improves SGD for distributed learning with faulty nodes.

problem Fault tolerance for distributed SGD with arbitrary faulty workers.
method Suspicion-based fault-tolerance mechanism with ranking-based preference.
result Proved convergence of SGD for non-convex problems under faulty scenarios.

Hybrid quantum algorithm tackles binary optimization problems with multiple constraints.

problem Efficiently solving binary optimization problems with multiple constraints using quantum algorithms.
method Combines QAOA with penalty dephasing and Zeno effect for non-Ising constraints.
result Significant improvement in solving practical aircraft loading problems.

The famous Banach-Tarski paradox claims that the three dimensional rotation group acts on the two dimensional sphere paradoxically. In this paper, we generalize their result to show that the classical group acts on the flag manifold paradoxically.

2011-06-02abs ↗pdf ↗

Karl Menger's 1934 paper on the St. Petersburg paradox contains mathematical errors that invalidate his conclusion that unbounded utility functions, specifically Bernoulli's logarithmic utility, fail to resolve modified versions of the St. Petersburg paradox.

2011-10-07abs ↗pdf ↗

This paper develops a cohomological hierarchy for bistable visual paradoxes.

problem Understanding the hierarchy of visual paradoxes built from bistable elements.
method Develops a cohomological hierarchy using Z2\mathbb{Z}_2 coefficients and a discrete Stokes theorem.
result Reveals a hierarchy of paradox classes from H0H^0 through H2H^2, refined at each degree by the relative/absolute distinction.

A coin-flipping game paradox illustrates how conditional probability estimation can distort risk assessment.

problem Distortion of risk assessment due to incorrect conditional probability estimation.
method A coin-flipping game to illustrate the paradox of conditional probability estimation.
result Incorrect conditional probability estimation can lead to excessive risk bearing.

Simpson's paradox can invalidate the results of medical trials if an unobserved variable is considered.

problem The validity of medical trial results can be invalidated by an unobserved confounding variable.
method Simulated controlled trials to demonstrate the paradox.
result The results of a trial can be reversed by including an unobserved confounding variable.

The Allais and Ellsberg paradoxes show that the expected utility hypothesis and Savage's Sure-Thing Principle are violated in real life decisions. The popular explanation in terms of 'ambiguity aversion' is not completely accepted. On the other hand, we have recently introduced a notion of 'contextual risk' to mathemat…

2011-05-09abs ↗pdf ↗

Thompson Sampling shows polynomial regret for combinatorial semi-bandits with subgaussian rewards.

problem Finding optimal solutions in combinatorial semi-bandits with suboptimal sampling.
method Proposes Thompson Sampling with polynomial regret for linear combinatorial semi-bandits.
result Demonstrates 'mismatched sampling paradox' where knowing distributions can lead to worse performance.

A resolution of the St. Petersburg paradox is presented. In contrast to the standard resolution, utility is not required. Instead, the time-average performance of the lottery is computed. The final result can be phrased mathematically identically to Daniel Bernoulli's resolution, which uses logarithmic utility, but is …

2010-11-19abs ↗pdf ↗

The paper tackles individualized decision-making under unmeasured confounding, providing a novel minimax solution and a paradox.

problem Unmeasured confounding in causal inference leads to biased estimates and affects individualized decision-making.
method The authors establish a formal link between individualized decision-making under partial identification and classical decision theory, providing a minimax solution and a paradox.
result A novel minimax solution for individualized decision-making/policy assignment is provided, and an interesting paradox is drawn.

A mathematical paradox shows secant planes don't always form a tangent plane, but some analogies hold with a specific vector product.

problem Secant planes of a two-variable smooth function do not always form a tangent plane, even for simple polynomials.
method Analogies with the one-variable case are explored, using Clifford's geometric vector product.
result Some analogies with the one-variable case still hold in the multi-variable context with a specific vector product.

New methods resolve conflicting treatment effect estimates in health tech assessments.

problem Conflicting conclusions from different sponsors analyzing the same data.
method Arbitrated indirect treatment comparisons (ArMAIC) targeting a common target population.
result Estimates treatment effects in a common target population, resolving the MAIC paradox.

Buying or selling assets leads to transaction costs for the investor. On one hand, it is well know to all market practionaires that the transaction costs are positive on average and present therefore systematic loss. On the other hand, for every trade, there is a buy side and a sell side, the total amount of asset and …

2011-03-11abs ↗pdf ↗

GenAI adoption paradoxically lowers ROE for U.S. banks, with spillovers but systemic risk concerns.

problem Productivity paradox and implementation costs in U.S. banking sector with AI adoption.
method Dynamic Spatial Durbin Models (DSDM) and Synthetic Difference-in-Differences (SDID) for causal inference.
result AI adoption leads to a 428-basis-point decline in ROE for banks, with spillovers but systemic risk implications.

New method uses correlation-ratio for transfer learning, improving target model inference.

problem Difficulty in meeting similarity condition for transfer learning.
method Introduces linear correlation-ratio for building accurate relationships between models.
result Improves inference on target model by transferring information from source models.

Develops a model to explain price dynamics under predictable market flow.

problem Diffusive price dynamics paradox under predictable market-order flow.
method Integrates square-root price-impact law into Lillo--Mike--Farmer model.
result Price dynamics are diffusive at long times under predictable market-order flow.

The influence of additional information on the decision making of agents, who are interacting members of a society, is analyzed within the mathematical framework based on the use of quantum probabilities. The introduction of social interactions, which influence the decisions of individual agents, leads to a generalizat…

2012-02-21abs ↗pdf ↗

Paper proposes a new DR estimator for adaptive experiments with improved performance.

problem Improving policy evaluation in adaptive experiments with dependent samples.
method Adaptive-fitting variant of sample-splitting for non-Donsker nuisance estimators.
result Proposed DR estimator shows better performance than other estimators with dependent samples.

Aggregated variables can mask causal effects, turning unconfounded into confounded relations.

problem Aggregated variables can mask causal effects, leading to paradoxical confounding.
method Analysis of how aggregated variables can change the definition of causality and the feasibility of causal relations.
result Macro causal relations are defined by micro states, not just aggregated variables.

The 2008 financial crisis revealed banking consolidation paradoxically increased systemic fragility and global financial contagion with negligible spatial decay.

problem Fundamental vulnerabilities in interconnected banking systems during the 2008 financial crisis were inadequately addressed by existing frameworks.
method Developed a unified spatial-network framework using spectral analysis of network Laplacian operators combined with spatial difference-in-differences identification.
result Banking consolidation paradoxically increased systemic fragility and global financial contagion with negligible spatial decay.

Study analyzes neural network models to understand generalization performance.

problem Understanding good generalization in neural networks.
method Analyzed a corpus of models from a public contest, breaking ALPHAHAT into scale and shape metrics.
result Identified a Simpson's paradox in metric performance across different model depths and regularization hyperparameters.

The leverage effect-- the correlation between an asset's return and its volatility-- has played a key role in forecasting and understanding volatility and risk. While it is a long standing consensus that leverage effects exist and improve forecasts, empirical evidence paradoxically do not show that most individual stoc…

2016-05-20abs ↗pdf ↗

Paper uses bond pricing and convexity adjustments to explain herd immunity paradox.

problem Early onset of herd immunity contradicts R value estimates from early stage growth.
method Utilizes Vasicek's bond pricing formula and de Finetti's Theorem approach.
result Reduces modeling discrepancy to simple convexity formulas.

We solve the paradox of score-based methods by minimizing path variance.

problem Score-based methods are path-dependent, leading to inaccurate and unstable estimators.
method Propose MVP Principle to minimize path variance, derive closed-form expression, and use flexible Kumaraswamy Mixture Model.
result Establishes new state-of-the-art results on challenging benchmarks.