English
Related papers

Related papers: $\mathrm{P}$-Optimal Proof Systems for Each $\math…

200 papers

We investigate the following longstanding open questions raised by Kraj\'i\v{c}ek and Pudl\'ak (J. Symb. L. 1989), Sadowski (FCT 1997), K\"obler and Messner (CCC 1998) and Messner (PhD 2000). Q1: Does TAUT have (p-)optimal proof systems?…

Computational Complexity · Computer Science 2026-02-03 Fabian Egidy

This work deals with the definability problem by quantifier-free first-order formulas over a finite algebraic structure. We show the problem to be coNP-complete and present two decision algorithms based on a semantical characterization of…

Logic in Computer Science · Computer Science 2023-03-31 Miguel Campercholi , Mauricio Tellechea , Pablo Ventura

We focus on rational solutions or nearly-feasible rational solutions that serve as certificates of feasibility for polynomial optimization problems. We show that, under some separability conditions, certain cubic polynomially constrained…

Optimization and Control · Mathematics 2022-04-15 Daniel Bienstock , Alberto del Pia , Robert Hildebrand

This paper introduces cutting planes that involve minimal structural assumptions, enabling the generation of strong polyhedral relaxations for a broad class of problems. We consider valid inequalities for the set $S\cap P$, where $S$ is a…

Optimization and Control · Mathematics 2020-02-03 Daniel Bienstock , Chen Chen , Gonzalo Muñoz

We investigate a class of chance-constrained combinatorial optimization problems. Given a pre-specified risk level $\epsilon \in [0,1]$, the chance-constrained program aims to find the minimum cost selection of a vector of binary decisions…

Optimization and Control · Mathematics 2020-06-02 Hao-Hsiang Wu , Simge Kucukyavuz

Nonuniformity is a central concept in computational complexity with powerful connections to circuit complexity and randomness. Nonuniform reductions have been used to study the isomorphism conjecture for NP and completeness for larger…

Computational Complexity · Computer Science 2018-01-19 John M. Hitchcock , Hadi Shafei

Suppose we are given an oracle that claims to approximate the permanent for most matrices X, where X is chosen from the Gaussian ensemble (the matrix entries are i.i.d. univariate complex Gaussians). Can we test that the oracle satisfies…

Data Structures and Algorithms · Computer Science 2012-07-20 Sanjeev Arora , Arnab Bhattacharyya , Rajsekar Manokaran , Sushant Sachdeva

We present the first constructions of single-prover proof systems that achieve perfect zero knowledge (PZK) for languages beyond NP, under no intractability assumptions: 1. The complexity class #P has PZK proofs in the model of Interactive…

Computational Complexity · Computer Science 2016-10-13 Eli Ben-Sasson , Alessandro Chiesa , Michael A. Forbes , Ariel Gabizon , Michael Riabzev , Nicholas Spooner

Can easy sets only have easy certificate schemes? In this paper, we study the class of sets that, for all NP certificate schemes (i.e., NP machines), always have easy acceptance certificates (i.e., accepting paths) that can be computed in…

Computational Complexity · Computer Science 2007-05-23 Lane A. Hemaspaandra , Joerg Rothe , Gerd Wechsung

Given a sound first-order p-time theory $T$ capable of formalizing syntax of first-order logic we define a p-time function $g_T$ that stretches all inputs by one bit and we use its properties to show that $T$ must be incomplete. We leave it…

Logic in Computer Science · Computer Science 2026-02-16 Jan Krajicek

We present Proof-of-Perception (PoP), a tool-using framework that casts multimodal reasoning as an executable graph with explicit reliability guarantees. Each perception or logic node outputs a conformal set, yielding calibrated, stepwise…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Arya Fayyazi , Haleh Akrami

Much of reinforcement learning theory is built on top of oracles that are computationally hard to implement. Specifically for learning near-optimal policies in Partially Observable Markov Decision Processes (POMDPs), existing algorithms…

Machine Learning · Computer Science 2022-06-08 Noah Golowich , Ankur Moitra , Dhruv Rohatgi

Every orthonomic system of partial differential equations is known to possess a finite number of integrability conditions sufficient to ensure the validity of all. Herewith we offer an efficient algorithm to construct a sufficient set of…

Exactly Solvable and Integrable Systems · Physics 2024-03-21 M. Marvan

Ordinal classification has been widely applied in many high-stakes applications, e.g., medical imaging and diagnosis, where reliable uncertainty quantification (UQ) is essential for decision making. Conformal prediction (CP) is a general UQ…

Machine Learning · Computer Science 2025-11-24 Zijian Zhang , Xinyu Chen , Yuanjie Shi , Liyuan Lillian Ma , Zifan Xu , Yan Yan

Theoretical computer scientists have been debating the role of oracles since the 1970's. This paper illustrates both that oracles can give us nontrivial insights about the barrier problems in circuit complexity, and that they need not…

Computational Complexity · Computer Science 2007-05-23 Scott Aaronson

We introduce the completeness problem for Modal Logic and examine its complexity. For a definition of completeness for formulas, given a formula of a modal logic, the completeness problem asks whether the formula is complete for that logic.…

Logic in Computer Science · Computer Science 2017-09-20 Antonis Achilleos

We show that the finite-basis optimized effective potential (OEP) equations exhibit previously unknown singular behavior.Imposing continuity, we derive new well-behaved finite-basis-set OEP equations that determine OEP for any orbital and…

Other Condensed Matter · Physics 2012-06-05 Nikitas I. Gidopoulos , Nektarios N. Lathiotakis

We introduce ordinal collapsing principles that are inspired by proof theory but have a set theoretic flavor. These principles are shown to be equivalent to iterated $\Pi^1_1$-comprehension and the existence of admissible sets, over weak…

Logic · Mathematics 2021-12-16 Anton Freund , Michael Rathjen

Decision support systems based on prediction sets have proven to be effective at helping human experts solve classification tasks. Rather than providing single-label predictions, these systems provide sets of label predictions constructed…

Machine Learning · Computer Science 2024-11-13 Giovanni De Toni , Nastaran Okati , Suhas Thejaswi , Eleni Straitouri , Manuel Gomez-Rodriguez

While powerful tools have been developed to analyze quantum query complexity, there are still many natural problems that do not fit neatly into the black box model of oracles. We create a new model that allows multiple oracles with…

Quantum Physics · Physics 2016-04-12 Shelby Kimmel , Cedric Yen-Yu Lin , Han-Hsuan Lin