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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.

169,291 papers · 148 categories

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12.5%25.0%37.5%50.0% · Jan 199519922001200920182026
48 results for substitutable products

SHOPPER models consumer choices with substitutes and complements.

problem Understanding how consumers choose products with interactions.
method Sequential probabilistic model with interpretable components for price interventions.
result SHOPPER accurately predicts consumer choices and identifies product pairs.

Geometric theory explains substitutability in market outcomes based on production constraints.

problem Understanding substitutability in markets with structured feasible products.
method Modeling the set of feasible products as a compact Riemannian manifold to study intrinsic geometry and its effects on substitutability.
result Intrinsic geometry of the feasible set governs substitutability and market outcomes, with curvature controlling technological substitution elasticity.

Develops methods to improve demand counterfactuals from imperfect proxies.

problem Imperfect proxies in demand models lead to biased counterfactuals and invalid inference.
method Practical toolkit for market-level and individual data, requiring minimal computation.
result Improves substitution prediction and counterfactual performance.

Network models assume unrealistic idiosyncratic risk, which can be mitigated by allowing for correlated shocks.

problem Network models assume idiosyncratic risk, which can be unrealistic and lead to incorrect predictions.
method Proposed a production-based asset pricing model to account for substitutability between trade partners and correlation in supply and demand shocks.
result Assets positively exposed to average propagation of upstream and downstream shocks earn lower average risk premia.

We introduce several new families of relations in the mapping class groups of planar surfaces, each equating two products of right-handed Dehn twists. The interest of these relations lies in their geometric interpretation in terms of rational blowdowns of 4-manifolds, specifically via monodromy substitution in Lefschet…

2010-04-21abs ↗pdf ↗

Mathematically, a homothetic function is a function of the form f(x)=F(h(x1,...,xn))f({\bf x})=F(h(x_1,...,x_n)), where hh is a homogeneous function of any degree d0d\ne 0 and FF is a monotonically increasing function. In economics homothetic functions are production functions whose marginal technical rate of substitution is homogeneo…

2013-07-01abs ↗pdf ↗

We define 2-dimensional topological substitutions. A tiling of the Euclidean plane, or of the hyperbolic plane, is substitutive if the underlying 2-complex can be obtained by iteration of a 2-dimensional topological substitution. We prove that there is no primitive substitutive tiling of the hyperbolic plane $\mathbb{H…

2011-01-20abs ↗pdf ↗

Paper generalizes Markov chain model to handle dynamic preferences and choice overload.

problem Modeling dynamic customer substitution behavior in assortment optimization.
method Generalizes Markov chain model to account for choice overload.
result Proposes a Markov chain model that reduces to a generalized MNL model with assortment-dependent no-purchase attractions.

Sandpile Economics explains how economies can be prone to large crises from small shocks.

problem Capitalist economies' recurrent crises disproportionate to shocks.
method Formal framework interpreting instability as geometric fragility of production networks.
result Curvature of production networks predicts medium-run output dynamics and resilience.

A quantum framework optimizes collateral allocation for derivatives.

problem Legal constraints and operational rules in collateral allocation for derivatives.
method Certified higher-order quantum framework that normalizes margin requirements and builds a bounded neighborhood of actions.
result Quantum framework improves certified sample quality compared to classical methods.

Structural reliability methods aim at computing the probability of failure of systems with respect to some prescribed performance functions. In modern engineering such functions usually resort to running an expensive-to-evaluate computational model (e.g. a finite element model). In this respect simulation methods, whic…

2011-05-03abs ↗pdf ↗

Long-term debt instruments can't be deposit substitutes due to mismatched features.

problem Long-term debt instruments cannot function as deposit substitutes due to their maturity and capital preservation.
method Applied fundamental theory of bond values to 'PEACe Bonds' to show incompatibility.
result Long-term debt instruments cannot be deposit substitutes due to their mismatched features.

Sector specific multifactor CES elasticity of substitution and the corresponding productivity growths are jointly measured by regressing the growths of factor-wise cost shares against the growths of factor prices. We use linked input-output tables for Japan and the Republic of Korea as the data source for factor price …

2016-08-03abs ↗pdf ↗

New method uses product embeddings to predict bundle success.

problem Designing effective product bundles in large retail settings.
method Leverage historical purchases and clickstream data to generate product embeddings, then use heuristics for complementarity and substitutability.
result Embeddings-based heuristics predict bundle success, robust across categories and retailers.

A new method for analyzing product competition using low-dimensional embeddings.

problem Computational challenges in studying product-level competition for millions of products.
method Product2Vec, a method based on representation learning algorithm Word2Vec.
result The method produces more accurate demand forecasts and price elasticities compared to state-of-the-art models.

An efficient algorithm for k-median clustering in a sequential setting without substitutions.

problem Clustering a sequence of examples without being able to substitute centers later.
method An efficient algorithm with a multiplicative approximation factor of twice the offline algorithm's factor, and an optimal offline algorithm.
result The efficient algorithm achieves a good approximation of the optimal offline solution.

The paper models currency substitution and money demand in CEE countries, finding interest rate spreads influence money demand.

problem Understanding currency substitution and money demand in CEE countries.
method Developed a microeconomic model to differentiate currency substitution from money demand sensitivity to exchange rate variations.
result Money demand is influenced by the interest rate spread between CEE countries and the euro area, not just currency substitution.

SAFER method certifies robustness to word substitutions without model structure.

problem Certified robustness against synonymous word substitutions in NLP models.
method Randomized smoothing with stochastic ensemble of randomized inputs.
result Significantly outperforms state-of-the-art methods for certified robustness.

Wariness affects poverty traps and equilibrium diversity in economic models.

problem The impact of wariness on poverty traps and equilibrium diversity in economic models.
method An overlapping generations model to explore the effects of wariness on poverty traps and equilibrium diversity.
result Wariness can amplify or mitigate the likelihood of poverty traps and can lead to multiple intertemporal equilibria.

Defect of knot polynomials remains invariant under certain braid substitutions.

problem Invariance of knot polynomial defects under specific transformations.
method Investigation of defect invariants under antiparallel and parallel braid substitutions.
result Defect remains unchanged under antiparallel braid substitutions and changes by half the added length under parallel braid substitutions.

Forward hedging reshapes incentive provision in firms.

problem How does forward hedging affect incentive provision in firms?
method We consider a CARA framework to jointly characterize optimal production, compensation, and static hedging in equilibrium.
result Delegation and external hedging are partial substitutes, and delegation can increase firm value even when the agent is more risk averse.

Gradient boosting estimates Riesz representer for causal inference.

problem Estimating causal quantities using traditional methods is challenging and prone to variance issues.
method Gradient boosting algorithm to directly estimate Riesz representer.
result Gradient boosting performs similarly or better than traditional methods in estimating causal quantities.

PASS protects private attributes by stochastically substituting data.

problem Protecting private attributes in ML services while maintaining data utility.
method PASS uses stochastic data substitution with a novel loss function derived from information theory.
result PASS effectively protects private attributes across various datasets.

Construction of (colored) knot polynomials for double-fat graphs is further generalized to the case when "fingers" and "propagators" are substituting R-matrices in arbitrary closed braids with m-strands. Original version of arXiv:1504.00371 corresponds to the case m=2, and our generalizations sheds additional light on …

2015-06-01abs ↗pdf ↗

This paper explores how the generalization of substitute classifiers affects the success of black-box adversarial attacks.

problem Understanding the factors driving the transferability of black-box adversarial examples.
method Max-min adversarial example game framework and theoretical generalization bounds.
result Substitute NN with better generalization behavior results in more transferable adversarial examples.

The paper introduces a method to improve adversarial robustness in neural networks using randomized perturbations.

problem Deep neural networks are sensitive to small perturbations on correctly classified examples, leading to erroneous predictions.
method The approach uses randomized perturbations to optimize the worst case loss function over all possible substitutions of training examples, ensuring that substitution likelihood is weighted by the proximity to the original word.
result The method achieves performance gains and differentially-private model training, improving robustness against adversarial attacks.

The paper optimizes learning Gaussian Processes in distributed systems with minimal communication.

problem Learning Gaussian Processes in distributed and communication-limited systems.
method Information-theoretic bounds and practical schemes like per-symbol quantization.
result The proposed methods outperform previous zero-rate distributed GP learning schemes.

The "color" in the colored Jones polynomial is an integer parameter. In this paper, a periodic pattern of the values of the colored Jones polynomial at the second and the third roots of unity is found. If we substitute -1 to the colored Jones polynomial, the value is alternately 1 or the determinant of the given link. …

2016-06-01abs ↗pdf ↗

A new neural network method for efficient power system security analysis.

problem Efficiently compute load-flows for power system security analysis.
method Guided dropout technique to train a deep feed-forward neural network on n-1 problems.
result Generalization to n-2 problems without retraining, leveraging the combinatorial nature of the problem.

Meta-model framework improves efficiency in parameter estimation of dynamical systems.

problem Efficiently estimating parameters of complex dynamical systems with computationally expensive objective functions.
method Dynamic adaptation of surrogate model and substitution strategy using a meta-model framework.
result Significant improvement in optimization efficiency, reducing evaluations by up to 77%.

This paper optimizes product assortment decisions with changing contextual information.

problem Optimizing product assortment decisions in a dynamic context.
method Developed an upper confidence bound (UCB) policy to learn and make decisions under a changing contextual MNL model.
result Established a regret bound of O~(dT)\widetilde O(d\sqrt{T}) and a lower bound of Ω(dT/K)Ω(d\sqrt{T}/K) for dynamic assortment optimization.

Privacy-preserving syntactic parsing using obfuscation.

problem Preserving privacy while parsing encrypted natural language data.
method Introducing a neural model that obfuscates words in natural language texts, preserving syntactic relationships.
result The obfuscated text leads to better performance on syntactic parsers compared to a random substitution baseline.

DES training speeds up large-scale recommender systems convergence.

problem Training large-scale recommender systems with dynamic sparse features.
method Distributed Equivalent Substitution (DES) framework for fully synchronous training.
result DES achieves higher AUC and up to 68.7% communication savings.

Efficient black-box evasion attacks against deep networks with fewer queries.

problem Optimizing targeted evasion attacks with limited query budget.
method Formalized problem, evaluated benefits of using substitute models, presented two new attack strategies.
result Attack strategies are as effective as previous techniques but require significantly fewer queries.