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20 results for “effective condition number”

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quant-phcs.DSmath.NATheoreticalRecentJul 8, 2026

Faster quantum linear system solver beyond the condition number

Alexander M. Dalzell, Jianqiang Li, Yuan Su

This paper presents two quantum algorithms for solving linear systems with normalized solution $|x angle$ to accuracy $ε$, independent of the condition number $κ$.

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cs.CRRecentMar 20, 2026

Constraint Migration: A Formal Theory of Throughput in AI Cybersecurity Pipelines

Surasak Phetmanee

The paper develops a formal theory to analyze how throughput changes in AI-enhanced cybersecurity pipelines when stage capacities are perturbed by multipliers.

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cs.NEcs.LGEmpiricalRecentJun 30, 2026

Evaluation of Population Initialization Methods for Genetic Programming-based Symbolic Regression

Lukas Kammerer, Gabriel Kronberger, Deaglan J. Bartlett, Harry Desmond +2 more

This paper compares the effect of different initialization methods on the accuracy and complexity of solutions in genetic programming for symbolic regression, finding no significant differences.

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cs.SEcs.CLcs.HCEmpiricalRecentJun 17, 2026

Written by AI, Managed by AI: Semantic Space Control and Index Sickness Elimination Across 391 Consecutive Sessions

Hui Zhang, Shuren Song

This paper documents and analyzes the failure process of strategies used to address conceptual drift in long-horizon LLM collaboration and introduces the concept of 'Index Sickness' and the 'Pang Prin…

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cs.LGmath.OCstat.MLTheoreticalRecentJul 16, 2026

What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity

Kumar Kshitij Patel, Rustem Islamov, Sebastian U Stich, Aurelien Lucchi +2 more

This paper proves the conjecture that Local SGD outperforms Mini-batch SGD under bounded second-order heterogeneity for general convex objectives, improving the convergence guarantee and lower bounds.

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cs.CCcs.LGTheoreticalRecentJun 11, 2026

The Program Is Still There: A Conservation Law for Program Discovery

Jorge Miguel Silva

This paper measures the lower bound for the shortest program generating a sequence, proving a conservation law and providing a deterministic engine to recover generating programs for certain sequences…

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math.COcs.DMTheoreticalRecentJul 1, 2026

Annihilation, Independence, and Residue: Sharp Matching Bounds for the Annihilation Gap and a TxGraffiti Application

Ohr Kadrawi, Vadim E. Levit

This paper provides bounds on the difference between the annihilation number and independence number of a finite simple graph, and proves these bounds for various types of graphs.

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cs.LGcs.AIstat.MLRecentMay 30, 2026

A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models

Kara Liu, Maggie Wang, Russ B. Altman

The paper proposes a novel, practical upper bound to estimate the worst-case performance of medical prediction models on the target population, even when the selection bias mechanism and target data a…

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cs.CRcs.AIRecentMar 28, 2026

SafetyDrift: Predicting When AI Agents Cross the Line Before They Actually Do

Aditya Dhodapkar, Farhaan Pishori

The paper introduces SafetyDrift, a predictive model that forecasts when AI agents will violate safety protocols by analyzing the cumulative risk across sequences of individually safe actions.

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cs.CRcs.AIcs.LGRecentMay 11, 2026

Acceptance Cards:A Four-Diagnostic Standard for Safe Fine-Tuning Defense Claims

Phongsakon Mark Konrad, Toygar Tanyel, Serkan Ayvaz

The paper introduces Acceptance Cards, a rigorous four-diagnostic standard, to provide a comprehensive and reliable evaluation protocol for claims of safe fine-tuning defenses.

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stat.MLcs.AIcs.LGTheoreticalRecentJul 18, 2026

A Causal Markov Condition for Value

Olav Benjamin Vassend

This paper introduces the Value Causal Markov Condition (v-CMC) for linking causality and utility, and develops its foundations.

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cs.CCTheoreticalRecentJul 26, 2026

New and Improved Concrete Lower Bounds for Orthogonal Vectors

Tameem Choudhury, Nutan Limaye, Karteek Sreenivasaiah, Srikanth Srinivasan

This paper unconditionally proves the Orthogonal Vectors and Monotone Orthogonal Vectors conjectures in concrete computational models, and provides stronger lower bounds for Boolean formulas and branc…

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math.NTcs.CRcs.DSTheoreticalRecentJul 3, 2026

Calculating the floor of y**(1/m)

Alexandros V. Gerbessiotis

This paper presents two algorithms using the Newton-Raphson method to calculate the floor of y**(1/m) for natural integer numbers y > 2 and m > 1, which can be used to determine if y is an integer pow…

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