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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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6 results for “PQRS”

Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actionscs.LG

PQR estimates reward functions from actions and states without assuming state-only rewards.

problem Estimating reward functions from actions and states without state-only assumptions.

method Deep learning approach that sequentially estimates policy, Q-function, and reward.

result PQR uniquely recovers true reward with known transitions and bounds error with unknown transitions.

Inverse Reinforcement Learning Deep Learning Reward Estimation Deep Energy-Based Policies Anchor Actions

2020-07-15abs ↗pdf ↗

Artificial Intelligence and Statisticsstat.ML

AI uses statistical PQRS workflow for human-machine collaboration.

problem Integrating AI with statistical principles for better results.

method PQRS workflow integrating statistical concepts with AI.

result Reproducibility and interpretability of AI algorithms and results.

AI statistics human-machine collaboration PQRS experimental design

2017-12-08abs ↗pdf ↗

Computer theorem proving in mathmath.HO

We give an overview of issues surrounding computer-verified theorem proving in the standard pure-mathematical context. This is based on my talk at the PQR conference (Brussels, June 2003).

2003-11-16abs ↗pdf ↗

Projective Quadratic Regression for Online Learningcs.LG

PQR model tackles online learning with high-dimensional data.

problem Online learning with high-dimensional data and non-convex quadratic regression.

method Projective Quadratic Regression (PQR) model capturing second-order feature information, convexity, and applicability of existing optimization methods.

result PQR model achieves global optimal solution and handles high-dimensional data efficiently.

online learning quadratic regression high-dimensional data convex optimization feature interactions

2019-11-25abs ↗pdf ↗

Symplectic potentials and resolved Ricci-flat ACG metricshep-th

We pursue the symplectic description of toric Kahler manifolds. There exists a general local classification of metrics on toric Kahler manifolds equipped with Hamiltonian two-forms due to Apostolov, Calderbank and Gauduchon(ACG). We derive the symplectic potential for these metrics. Using a method due to Abreu, we rela…

2007-07-30abs ↗pdf ↗

Corner contributions to Neumann jump determinants: three model calculations and a BFK conjecturemath.SP

Local corner-factor conjecture for Neumann jump determinants supported by models.

problem Determining the determinant of Neumann jump operator on piecewise curves.

method Formulated conjecture, supported by three model calculations, and discussed connections.

result Support for the conjectural determinant formula \(\Det_{\angle}'\cN = \frac{\length(\partial P)}2 \prod_{j=1}^Nα_j^{-1/2}\).

Neumann jump operator piecewise curves mirror double Coxeter triangles spherical geometry

2026-07-27abs ↗pdf ↗