Deep Learning and Elicitability for McKean-Vlasov FBSDEs With Common Noise
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Antunes, Felipe J. P., Saporito, Yuri F., Jaimungal, Sebastian |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
EB-gMCR: Energy-Based Generative Modeling for Signal Unmixing and Multivariate Curve Resolution
par: Chang, Yu-Tang, et autres
Publié: (2025)
par: Chang, Yu-Tang, et autres
Publié: (2025)
Law-Strength Frontiers and a No-Free-Lunch Result for Law-Seeking Reinforcement Learning on Volatility Law Manifolds
par: Zhang, Jian'an
Publié: (2025)
par: Zhang, Jian'an
Publié: (2025)
On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime
par: Jiang, Shuai, et autres
Publié: (2026)
par: Jiang, Shuai, et autres
Publié: (2026)
Kourkoutas-Beta: A Sunspike-Driven Adam Optimizer with Desert Flair
par: Kassinos, Stavros C.
Publié: (2025)
par: Kassinos, Stavros C.
Publié: (2025)
A Risk-Neutral Neural Operator for Arbitrage-Free SPX-VIX Term Structures
par: Zhang, Jian'an
Publié: (2025)
par: Zhang, Jian'an
Publié: (2025)
Data-induced multiscale losses and efficient multirate gradient descent schemes
par: He, Juncai, et autres
Publié: (2024)
par: He, Juncai, et autres
Publié: (2024)
Deep Learning Forecasting of the U.S. Aggregate Bond Index
par: Verma, Ajay Kumar, et autres
Publié: (2026)
par: Verma, Ajay Kumar, et autres
Publié: (2026)
Stable Long-Horizon Neural ODE Reduced-Order Models via Learned Feedback for Biological Growth and Remodeling
par: Laudo, Joel, et autres
Publié: (2026)
par: Laudo, Joel, et autres
Publié: (2026)
RL-Exec: Impact-Aware Reinforcement Learning for Opportunistic Optimal Liquidation, Outperforms TWAP and a Book-Liquidity VWAP on BTC-USD Replays
par: Duflot, Enzo, et autres
Publié: (2025)
par: Duflot, Enzo, et autres
Publié: (2025)
Regime-Based Portfolio Allocation Using Hidden Markov Models and Reinforcement Learning
par: Verma, Ajay Kumar, et autres
Publié: (2026)
par: Verma, Ajay Kumar, et autres
Publié: (2026)
Proof-Carrying No-Arbitrage Surfaces: Constructive PCA-Smolyak Meets Chain-Consistent Diffusion with c-EMOT Certificates
par: Zhang, Jian'an
Publié: (2025)
par: Zhang, Jian'an
Publié: (2025)
SNAPO: Smooth Neural Adjoint Policy Optimization for Optimal Control via Differentiable Simulation
par: Goloubentsev, Dmitri, et autres
Publié: (2026)
par: Goloubentsev, Dmitri, et autres
Publié: (2026)
ZetA: A Riemann Zeta-Scaled Extension of Adam for Deep Learning
par: BC, Samiksha
Publié: (2025)
par: BC, Samiksha
Publié: (2025)
Physics Informed Differentiable Solvers for Learning Parametric Solution Manifolds in Heterogeneous Physical Systems
par: Panahi, Milad, et autres
Publié: (2026)
par: Panahi, Milad, et autres
Publié: (2026)
The Non-Linearity Perturbation Threshold: Width Scaling and Landscape Bifurcations in Deep Learning
par: Alexander, Michael
Publié: (2026)
par: Alexander, Michael
Publié: (2026)
Adam Improves Muon: Adaptive Moment Estimation with Orthogonalized Momentum
par: Zhang, Minxin, et autres
Publié: (2026)
par: Zhang, Minxin, et autres
Publié: (2026)
Predictive Digital Twins for Thermal Management Using Machine Learning and Reduced-Order Models
par: Subramani, Tamilselvan, et autres
Publié: (2025)
par: Subramani, Tamilselvan, et autres
Publié: (2025)
Faster Forward Sensitivities: Reduced stochastic hedge ratios from pathwise algorithmic differentiation
par: Fries, Christian P
Publié: (2026)
par: Fries, Christian P
Publié: (2026)
Applying Informer for Option Pricing: A Transformer-Based Approach
par: Bańka, Feliks, et autres
Publié: (2025)
par: Bańka, Feliks, et autres
Publié: (2025)
Local properties of neural networks through the lens of layer-wise Hessians
par: Bolshim, Maxim, et autres
Publié: (2025)
par: Bolshim, Maxim, et autres
Publié: (2025)
Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures
par: Bolshim, Maxim, et autres
Publié: (2026)
par: Bolshim, Maxim, et autres
Publié: (2026)
Stochastic Estimation of the Layer-wise Hessian Trace for Monitoring Neural-network Training
par: Bolshim, Maxim, et autres
Publié: (2026)
par: Bolshim, Maxim, et autres
Publié: (2026)
Total Generalized Variation regularization closes the gap between neural-eld and classical methods in seismic travel-time tomography
par: Kurosawa, Isao
Publié: (2026)
par: Kurosawa, Isao
Publié: (2026)
i-DEQ: A stable inertial deep equilibrium model for image restoration
par: Clerc, Antonin, et autres
Publié: (2026)
par: Clerc, Antonin, et autres
Publié: (2026)
CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
par: Du, Wenzhang
Publié: (2025)
par: Du, Wenzhang
Publié: (2025)
GDNSQ: Gradual Differentiable Noise Scale Quantization for Low-bit Neural Networks
par: Salishev, Sergey, et autres
Publié: (2025)
par: Salishev, Sergey, et autres
Publié: (2025)
Benchmarking Generative AI Against Bayesian Optimization for Constrained Multi-Objective Inverse Design
par: Awan, Muhammad Bilal, et autres
Publié: (2025)
par: Awan, Muhammad Bilal, et autres
Publié: (2025)
prunAdag: an adaptive pruning-aware gradient method
par: Porcelli, Margherita, et autres
Publié: (2025)
par: Porcelli, Margherita, et autres
Publié: (2025)
ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction
par: Chudziak, Jarosław A., et autres
Publié: (2025)
par: Chudziak, Jarosław A., et autres
Publié: (2025)
Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting
par: Wawer, Michał, et autres
Publié: (2025)
par: Wawer, Michał, et autres
Publié: (2025)
Neural network optimization strategies and the topography of the loss landscape
par: Yu, Jianneng, et autres
Publié: (2026)
par: Yu, Jianneng, et autres
Publié: (2026)
Liquidation Dynamics in DeFi and the Role of Transaction Fees
par: Sadeghi, Agathe, et autres
Publié: (2026)
par: Sadeghi, Agathe, et autres
Publié: (2026)
Wildfires Quasi-Implicit Alternative-Direction Simulations using Isogeometric Finite Element Method
par: Wasieleski, Juliusz, et autres
Publié: (2026)
par: Wasieleski, Juliusz, et autres
Publié: (2026)
HS-FNO: History-Space Fourier Neural Operator for Non-Markovian Partial Differential Equations
par: Shikhman, Lennon J.
Publié: (2026)
par: Shikhman, Lennon J.
Publié: (2026)
Autoencoders in Function Space
par: Bunker, Justin, et autres
Publié: (2024)
par: Bunker, Justin, et autres
Publié: (2024)
Ghosts of Softmax: Complex Singularities That Limit Safe Step Sizes in Cross-Entropy
par: Sao, Piyush
Publié: (2026)
par: Sao, Piyush
Publié: (2026)
Alternately-optimized SNN method for acoustic scattering problem in unbounded domain
par: Song, Haoming, et autres
Publié: (2025)
par: Song, Haoming, et autres
Publié: (2025)
A Decomposition Method for LQ Conditional McKean-Vlasov Control Problems with Random Coefficients
par: Hounkpe, Onésime, et autres
Publié: (2026)
par: Hounkpe, Onésime, et autres
Publié: (2026)
Physics-Informed Neural Networks for Optimal Vaccination Plan in SIR Epidemic Models
par: Kim, Minseok, et autres
Publié: (2025)
par: Kim, Minseok, et autres
Publié: (2025)
Learning Hamiltonian flows from numerical integrators and examples
par: Fang, Rui, et autres
Publié: (2025)
par: Fang, Rui, et autres
Publié: (2025)
Documents similaires
-
EB-gMCR: Energy-Based Generative Modeling for Signal Unmixing and Multivariate Curve Resolution
par: Chang, Yu-Tang, et autres
Publié: (2025) -
Law-Strength Frontiers and a No-Free-Lunch Result for Law-Seeking Reinforcement Learning on Volatility Law Manifolds
par: Zhang, Jian'an
Publié: (2025) -
On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime
par: Jiang, Shuai, et autres
Publié: (2026) -
Kourkoutas-Beta: A Sunspike-Driven Adam Optimizer with Desert Flair
par: Kassinos, Stavros C.
Publié: (2025) -
A Risk-Neutral Neural Operator for Arbitrage-Free SPX-VIX Term Structures
par: Zhang, Jian'an
Publié: (2025)