Applied Math · Mathematics & Statistics
Optimization & Control
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754 papers, from 31 August 2026 to 5 November 2026: 698 arXiv preprints and 56 OpenAlex records.
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Newest papers, page 38
Redefining Stablecoins from Nominal to Real Value: A Maximum Likelihood Approach
Stablecoins, typically pegged to fiat currencies, cannot achieve true stability because they inherit fluctuations in the underlying unit of account.Can LLMs Take the Pulse of the Economy? A Real-Time Evaluation of LLM Nowcasts on Macroeconomic Indicators
Nowcasting headline macroeconomic indicators, i.e., estimating an indicator's value for the current reference period before its official release, is critical for monetary policy and financial…Nonparametric Contextual Pricing and Inventory Learning under Censored Demand
In online retailing, when a product sells out, a retailer often sees only the units sold, not how many customers would have bought it had inventory been available.Neural Calibration of a Complete Market Model
We propose a neural calibration method to construct a recombining binomial tree directly from a set of given option prices.A note on markets with semi-static trading strategies
We consider a discrete-time financial market model where, in addition to finitely many dynamically traded assets, there are also (possibly infinitely many) static options to choose from.LangBP: Language-Guided Reasoning and Acting for Joint Bidding and Pricing
Auto-bidding is a long-horizon sequential decision problem for maximizing conversion value under budget and key performance indicator (KPI) constraints.Constant Individual Regret in General Games
Uncoupled no-regret dynamics provide a decentralized route to equilibrium, but prior guarantees for individual regret retain a polylogarithmic dependence on the horizon.Dec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization
We study decentralized online optimization of upper-linearizable payoffs over an action set under efficient separation access, with applications to online continuous diminishing-return (DR)…Communicating About Endogenous Issues
Limited attention forces organizations to decide not only how much to discuss, but also which issues merit discussion.Rock, Paper, Scissors, ... Dynamite - A Model of Disruption from New Technologies
We seek to understand the effect of adding disruptive highly-capable new technologies to competitions by assessing the addition of Dynamite to Rock-Paper-Scissors.Ordinal Gates, Cardinal Bets: Matching LLM Confidence to the Financial Decision Operator
LLM confidence scores are not independently deployable objects: their decision value depends on the downstream operator and exposure controller that consume them.Are Near-Tied LLM Rankings Robust to Family-DIF-Guided Benchmark Recomposition?
Small leaderboard gaps are often interpreted as evidence that one language model is better than another, but their sign may depend on which benchmark items are included.Recursive Criticality of AI Self-Improvement
AI is increasingly used in the R\&D process that produces future AI systems.Different representation learning objectives recover distinct latent structures from the same psychometric data
Psychometric questionnaires contain rich item-level information, yet it remains unclear whether different representation learning objectives recover the same latent organization.