Distribution-Free Robust Predict-Then-Optimize in Function Spaces
Fuente:
arXiv
Saved in:
| Main Authors: | Patel, Yash, Tewari, Ambuj |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
by: Rivera, Eduardo Ochoa, et al.
Published: (2024)
by: Rivera, Eduardo Ochoa, et al.
Published: (2024)
A Greedy PDE Router for Blending Neural Operators and Classical Methods
by: Rayan, Sahana, et al.
Published: (2025)
by: Rayan, Sahana, et al.
Published: (2025)
Variational Inference with Coverage Guarantees in Simulation-Based Inference
by: Patel, Yash, et al.
Published: (2023)
by: Patel, Yash, et al.
Published: (2023)
Learning to Partially Defer for Sequences
by: Rayan, Sahana, et al.
Published: (2025)
by: Rayan, Sahana, et al.
Published: (2025)
Conformal Robust Control of Linear Systems
by: Patel, Yash, et al.
Published: (2024)
by: Patel, Yash, et al.
Published: (2024)
On the Computational Complexity of Private High-dimensional Model Selection
by: Roy, Saptarshi, et al.
Published: (2023)
by: Roy, Saptarshi, et al.
Published: (2023)
Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
by: Brooks, Marc, et al.
Published: (2025)
by: Brooks, Marc, et al.
Published: (2025)
Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization
by: Patel, Yash, et al.
Published: (2025)
by: Patel, Yash, et al.
Published: (2025)
Continuum Transformers Perform In-Context Learning by Operator Gradient Descent
by: Mishra, Abhiti, et al.
Published: (2025)
by: Mishra, Abhiti, et al.
Published: (2025)
Multi-Distribution Robust Conformal Prediction
by: Yang, Yuqi, et al.
Published: (2026)
by: Yang, Yuqi, et al.
Published: (2026)
Flow-based Distributionally Robust Optimization
by: Xu, Chen, et al.
Published: (2023)
by: Xu, Chen, et al.
Published: (2023)
Knowledge-Guided Wasserstein Distributionally Robust Optimization
by: Wang, Zitao, et al.
Published: (2025)
by: Wang, Zitao, et al.
Published: (2025)
Tuning-Free Sampling via Optimization on the Space of Probability Measures
by: Sharrock, Louis, et al.
Published: (2025)
by: Sharrock, Louis, et al.
Published: (2025)
Distribution-Free Predictive Inference under Unknown Temporal Drift
by: Han, Elise, et al.
Published: (2024)
by: Han, Elise, et al.
Published: (2024)
Robust Validation: Confident Predictions Even When Distributions Shift
by: Cauchois, Maxime, et al.
Published: (2020)
by: Cauchois, Maxime, et al.
Published: (2020)
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction
by: Nguyen, Drew T., et al.
Published: (2024)
by: Nguyen, Drew T., et al.
Published: (2024)
Online Conformal Prediction: Enforcing monotonicity via Online Optimization
by: Rivera, Eduardo Ochoa, et al.
Published: (2026)
by: Rivera, Eduardo Ochoa, et al.
Published: (2026)
Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework
by: Wang, Zitao, et al.
Published: (2025)
by: Wang, Zitao, et al.
Published: (2025)
If generative AI is the answer, what is the question?
by: Tewari, Ambuj
Published: (2025)
by: Tewari, Ambuj
Published: (2025)
Additive Distributionally Robust Ranking and Selection
by: Li, Zaile, et al.
Published: (2025)
by: Li, Zaile, et al.
Published: (2025)
Residual Distribution Predictive Systems
by: Allen, Sam, et al.
Published: (2025)
by: Allen, Sam, et al.
Published: (2025)
Online Classification with Predictions
by: Raman, Vinod, et al.
Published: (2024)
by: Raman, Vinod, et al.
Published: (2024)
Flow-Based Conformal Predictive Distributions
by: Harris, Trevor
Published: (2026)
by: Harris, Trevor
Published: (2026)
On Generation in Metric Spaces
by: Li, Jiaxun, et al.
Published: (2026)
by: Li, Jiaxun, et al.
Published: (2026)
Near-Optimal Approximations for Bayesian Inference in Function Space
by: Wild, Veit, et al.
Published: (2025)
by: Wild, Veit, et al.
Published: (2025)
Statistical Inference Leveraging Synthetic Data with Distribution-Free Guarantees
by: Bashari, Meshi, et al.
Published: (2025)
by: Bashari, Meshi, et al.
Published: (2025)
Compute Aligned Training: Optimizing for Test Time Inference
by: Ousherovitch, Adam, et al.
Published: (2026)
by: Ousherovitch, Adam, et al.
Published: (2026)
Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space
by: Feitelberg, Jacob, et al.
Published: (2024)
by: Feitelberg, Jacob, et al.
Published: (2024)
Robust Bayesian Optimization via Tempered Posteriors
by: Li, Jiguang, et al.
Published: (2026)
by: Li, Jiguang, et al.
Published: (2026)
Optimal Model Selection for Conformalized Robust Optimization
by: Bao, Yajie, et al.
Published: (2025)
by: Bao, Yajie, et al.
Published: (2025)
Robust and Sparse Regression in GLM by Stochastic Optimization
by: Kawashima, Takayuki, et al.
Published: (2018)
by: Kawashima, Takayuki, et al.
Published: (2018)
Adaptive Decentralized Federated Learning for Robust Optimization
by: Wu, Shuyuan, et al.
Published: (2025)
by: Wu, Shuyuan, et al.
Published: (2025)
Robust, Accurate Stochastic Optimization for Variational Inference
by: Dhaka, Akash Kumar, et al.
Published: (2020)
by: Dhaka, Akash Kumar, et al.
Published: (2020)
Distribution-free Conformal Prediction for Ordinal Classification
by: Chakraborty, Subhrasish, et al.
Published: (2024)
by: Chakraborty, Subhrasish, et al.
Published: (2024)
Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation
by: Wang, Zhenyu, et al.
Published: (2023)
by: Wang, Zhenyu, et al.
Published: (2023)
Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
by: Wilkins-Reeves, Steven, et al.
Published: (2024)
by: Wilkins-Reeves, Steven, et al.
Published: (2024)
On Next-Token Prediction in LLMs: How End Goals Determine the Consistency of Decoding Algorithms
by: Trauger, Jacob, et al.
Published: (2025)
by: Trauger, Jacob, et al.
Published: (2025)
Scale-Calibrated Median-of-Means for Robust Distributed Principal Component Analysis
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
Incorporating Interventional Independence Improves Robustness against Interventional Distribution Shift
by: Sreekumar, Gautam, et al.
Published: (2025)
by: Sreekumar, Gautam, et al.
Published: (2025)
Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
by: Aolaritei, Liviu, et al.
Published: (2025)
by: Aolaritei, Liviu, et al.
Published: (2025)
Similar Items
-
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
by: Rivera, Eduardo Ochoa, et al.
Published: (2024) -
A Greedy PDE Router for Blending Neural Operators and Classical Methods
by: Rayan, Sahana, et al.
Published: (2025) -
Variational Inference with Coverage Guarantees in Simulation-Based Inference
by: Patel, Yash, et al.
Published: (2023) -
Learning to Partially Defer for Sequences
by: Rayan, Sahana, et al.
Published: (2025) -
Conformal Robust Control of Linear Systems
by: Patel, Yash, et al.
Published: (2024)