Going from a Representative Agent to Counterfactuals in Combinatorial Choice
Fuente:
arXiv
Guardado en:
| Autores principales: | Ruan, Yanqiu, Murthy, Karthyek, Natarajan, Karthik |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Nonparametric Approach with Marginals for Modeling Consumer Choice
por: Ruan, Yanqiu, et al.
Publicado: (2022)
por: Ruan, Yanqiu, et al.
Publicado: (2022)
Multiunit I.I.D. Prophet Inequalities via Extreme Value Asymptotics
por: Kong, Jieming, et al.
Publicado: (2026)
por: Kong, Jieming, et al.
Publicado: (2026)
The Scaling Behaviors in Achieving High Reliability via Chance-Constrained Optimization
por: Deo, Anand, et al.
Publicado: (2025)
por: Deo, Anand, et al.
Publicado: (2025)
Pairwise independent correlation gap
por: Ramachandra, Arjun, et al.
Publicado: (2022)
por: Ramachandra, Arjun, et al.
Publicado: (2022)
Counterfactual Explanations for Linear Optimization
por: Kurtz, Jannis, et al.
Publicado: (2024)
por: Kurtz, Jannis, et al.
Publicado: (2024)
S-CFE: Simple Counterfactual Explanations
por: Sadiku, Shpresim, et al.
Publicado: (2024)
por: Sadiku, Shpresim, et al.
Publicado: (2024)
Quantitative Flow Approximation Properties of Narrow Neural ODEs
por: Elamvazhuthi, Karthik
Publicado: (2025)
por: Elamvazhuthi, Karthik
Publicado: (2025)
Latent Guided Sampling for Combinatorial Optimization
por: Surendran, Sobihan, et al.
Publicado: (2025)
por: Surendran, Sobihan, et al.
Publicado: (2025)
Combinatorial Optimization Augmented Machine Learning
por: Schiffer, Maximilian, et al.
Publicado: (2026)
por: Schiffer, Maximilian, et al.
Publicado: (2026)
Supervised Feature Compression based on Counterfactual Analysis
por: Piccialli, Veronica, et al.
Publicado: (2022)
por: Piccialli, Veronica, et al.
Publicado: (2022)
Structured Reinforcement Learning for Combinatorial Decision-Making
por: Hoppe, Heiko, et al.
Publicado: (2025)
por: Hoppe, Heiko, et al.
Publicado: (2025)
Imitation Learning for Combinatorial Optimisation under Uncertainty
por: Gawas, Prakash, et al.
Publicado: (2026)
por: Gawas, Prakash, et al.
Publicado: (2026)
Unbiased Single-Queried Gradient for Combinatorial Objective
por: Sornwanee, Thanawat
Publicado: (2026)
por: Sornwanee, Thanawat
Publicado: (2026)
Combinatorial Causal Bandits without Graph Skeleton
por: Feng, Shi, et al.
Publicado: (2023)
por: Feng, Shi, et al.
Publicado: (2023)
Pointer Networks with Q-Learning for Combinatorial Optimization
por: Barro, Alessandro
Publicado: (2023)
por: Barro, Alessandro
Publicado: (2023)
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
por: Geng, Haoyu, et al.
Publicado: (2023)
por: Geng, Haoyu, et al.
Publicado: (2023)
Malliavin Calculus with Weak Derivatives for Counterfactual Stochastic Optimization
por: Krishnamurthy, Vikram, et al.
Publicado: (2025)
por: Krishnamurthy, Vikram, et al.
Publicado: (2025)
Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles
por: Forel, Alexandre, et al.
Publicado: (2022)
por: Forel, Alexandre, et al.
Publicado: (2022)
Linear Model Extraction via Factual and Counterfactual Queries
por: Otto, Daan, et al.
Publicado: (2026)
por: Otto, Daan, et al.
Publicado: (2026)
Reheated Gradient-based Discrete Sampling for Combinatorial Optimization
por: Li, Muheng, et al.
Publicado: (2025)
por: Li, Muheng, et al.
Publicado: (2025)
The Ground Cost for Optimal Transport of Angular Velocity
por: Elamvazhuthi, Karthik, et al.
Publicado: (2025)
por: Elamvazhuthi, Karthik, et al.
Publicado: (2025)
Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update
por: Pugacheva, Daria, et al.
Publicado: (2024)
por: Pugacheva, Daria, et al.
Publicado: (2024)
Performance of NPG in Countable State-Space Average-Cost RL
por: Murthy, Yashaswini, et al.
Publicado: (2024)
por: Murthy, Yashaswini, et al.
Publicado: (2024)
Counterfactual optimization for fault prevention in complex wind energy systems
por: Carrizosa, Emilio, et al.
Publicado: (2025)
por: Carrizosa, Emilio, et al.
Publicado: (2025)
Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location
por: Lodi, Andrea, et al.
Publicado: (2019)
por: Lodi, Andrea, et al.
Publicado: (2019)
Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way
por: Kwon, Jeongyeol, et al.
Publicado: (2024)
por: Kwon, Jeongyeol, et al.
Publicado: (2024)
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
por: Bu, Fanchen, et al.
Publicado: (2024)
por: Bu, Fanchen, et al.
Publicado: (2024)
TreeDQN: Sample-Efficient Off-Policy Reinforcement Learning for Combinatorial Optimization
por: Sorokin, D., et al.
Publicado: (2023)
por: Sorokin, D., et al.
Publicado: (2023)
Convex Formulations for Training Two-Layer ReLU Neural Networks
por: Prakhya, Karthik, et al.
Publicado: (2024)
por: Prakhya, Karthik, et al.
Publicado: (2024)
On Sinkhorn's Algorithm and Choice Modeling
por: Qu, Zhaonan, et al.
Publicado: (2023)
por: Qu, Zhaonan, et al.
Publicado: (2023)
Causal-Aware Foundation-Model for Bilevel Optimization in Discrete Choice Settings
por: Subramanian, Shivaram, et al.
Publicado: (2026)
por: Subramanian, Shivaram, et al.
Publicado: (2026)
Heuristics for Combinatorial Optimization via Value-based Reinforcement Learning: A Unified Framework and Analysis
por: Davidovich, Orit, et al.
Publicado: (2025)
por: Davidovich, Orit, et al.
Publicado: (2025)
Langevin Dynamics: A Unified Perspective on Optimization via Lyapunov Potentials
por: Chen, August Y., et al.
Publicado: (2024)
por: Chen, August Y., et al.
Publicado: (2024)
Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management
por: Meng, Huiling, et al.
Publicado: (2024)
por: Meng, Huiling, et al.
Publicado: (2024)
Representative Action Selection for Large Action Space Bandit Families
por: Zhou, Quan, et al.
Publicado: (2025)
por: Zhou, Quan, et al.
Publicado: (2025)
Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems
por: Hu, Chenchuhui
Publicado: (2024)
por: Hu, Chenchuhui
Publicado: (2024)
HomeAdam: Adam and AdamW Algorithms Sometimes Go Home to Obtain Better Provable Generalization
por: Huang, Feihu, et al.
Publicado: (2026)
por: Huang, Feihu, et al.
Publicado: (2026)
A Compositional Kernel Model for Feature Learning
por: Ruan, Feng, et al.
Publicado: (2025)
por: Ruan, Feng, et al.
Publicado: (2025)
Representative Action Selection for Large Action Space: From Bandits to MDPs
por: Zhou, Quan, et al.
Publicado: (2025)
por: Zhou, Quan, et al.
Publicado: (2025)
Neural Solver Selection for Combinatorial Optimization
por: Gao, Chengrui, et al.
Publicado: (2024)
por: Gao, Chengrui, et al.
Publicado: (2024)
Ejemplares similares
-
A Nonparametric Approach with Marginals for Modeling Consumer Choice
por: Ruan, Yanqiu, et al.
Publicado: (2022) -
Multiunit I.I.D. Prophet Inequalities via Extreme Value Asymptotics
por: Kong, Jieming, et al.
Publicado: (2026) -
The Scaling Behaviors in Achieving High Reliability via Chance-Constrained Optimization
por: Deo, Anand, et al.
Publicado: (2025) -
Pairwise independent correlation gap
por: Ramachandra, Arjun, et al.
Publicado: (2022) -
Counterfactual Explanations for Linear Optimization
por: Kurtz, Jannis, et al.
Publicado: (2024)