Risk-Controlled Post-Processing of Decision Policies
Fuente:
arXiv
Saved in:
| Main Authors: | Joshi, Sunay, Wang, Tao, Hassani, Hamed, Dobriban, Edgar |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MultiRisk: Multiple Risk Control via Iterative Score Thresholding
by: Joshi, Sunay, et al.
Published: (2025)
by: Joshi, Sunay, et al.
Published: (2025)
Foundations of Top-$k$ Decoding For Language Models
by: Noarov, Georgy, et al.
Published: (2025)
by: Noarov, Georgy, et al.
Published: (2025)
Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
by: Joshi, Sunay, et al.
Published: (2025)
by: Joshi, Sunay, et al.
Published: (2025)
Solving a Research Problem in Mathematical Statistics with AI Assistance
by: Dobriban, Edgar
Published: (2025)
by: Dobriban, Edgar
Published: (2025)
Minimax Statistical Estimation under Wasserstein Contamination
by: Chao, Patrick, et al.
Published: (2023)
by: Chao, Patrick, et al.
Published: (2023)
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
by: Qiu, Hongxiang, et al.
Published: (2023)
by: Qiu, Hongxiang, et al.
Published: (2023)
SymmPI: Predictive Inference for Data with Group Symmetries
by: Dobriban, Edgar, et al.
Published: (2023)
by: Dobriban, Edgar, et al.
Published: (2023)
The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression
by: Hassani, Hamed, et al.
Published: (2022)
by: Hassani, Hamed, et al.
Published: (2022)
Inference in Randomized Least Squares and PCA via Normality of Quadratic Forms
by: Wang, Leda, et al.
Published: (2024)
by: Wang, Leda, et al.
Published: (2024)
Policy Testing in Markov Decision Processes
by: Ariu, Kaito, et al.
Published: (2025)
by: Ariu, Kaito, et al.
Published: (2025)
Minimax Optimal Fair Classification with Bounded Demographic Disparity
by: Zeng, Xianli, et al.
Published: (2024)
by: Zeng, Xianli, et al.
Published: (2024)
Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models
by: Moniri, Behrad, et al.
Published: (2024)
by: Moniri, Behrad, et al.
Published: (2024)
Evaluating the Performance of Large Language Models via Debates
by: Moniri, Behrad, et al.
Published: (2024)
by: Moniri, Behrad, et al.
Published: (2024)
Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes
by: Wang, He, et al.
Published: (2024)
by: Wang, He, et al.
Published: (2024)
Optimal Decision-Making Based on Prediction Sets
by: Wang, Tao, et al.
Published: (2026)
by: Wang, Tao, et al.
Published: (2026)
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
by: Moniri, Behrad, et al.
Published: (2023)
by: Moniri, Behrad, et al.
Published: (2023)
Provable tradeoffs in adversarially robust classification
by: Dobriban, Edgar, et al.
Published: (2020)
by: Dobriban, Edgar, et al.
Published: (2020)
Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes
by: Bergna, Richard, et al.
Published: (2025)
by: Bergna, Richard, et al.
Published: (2025)
A Simple and Optimal Policy Design with Safety against Heavy-Tailed Risk for Stochastic Bandits
by: Simchi-Levi, David, et al.
Published: (2022)
by: Simchi-Levi, David, et al.
Published: (2022)
Conformal Policy Control
by: Prinster, Drew, et al.
Published: (2026)
by: Prinster, Drew, et al.
Published: (2026)
Watermarking Language Models with Error Correcting Codes
by: Chao, Patrick, et al.
Published: (2024)
by: Chao, Patrick, et al.
Published: (2024)
Conformal Risk Control for Non-Monotonic Losses
by: Angelopoulos, Anastasios N.
Published: (2026)
by: Angelopoulos, Anastasios N.
Published: (2026)
Multiply Robust Conformal Risk Control with Coarsened Data
by: Paul, Manit, et al.
Published: (2025)
by: Paul, Manit, et al.
Published: (2025)
Online Statistical Inference in Decision-Making with Matrix Context
by: Han, Qiyu, et al.
Published: (2022)
by: Han, Qiyu, et al.
Published: (2022)
Learning single-index models via harmonic decomposition
by: Joshi, Nirmit, et al.
Published: (2025)
by: Joshi, Nirmit, et al.
Published: (2025)
Set-Valued Policy Learning
by: Fuentes-Vicente, Laura, et al.
Published: (2026)
by: Fuentes-Vicente, Laura, et al.
Published: (2026)
Conformal Risk Control
by: Angelopoulos, Anastasios N., et al.
Published: (2022)
by: Angelopoulos, Anastasios N., et al.
Published: (2022)
Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression
by: Hanchi, Ayoub El, et al.
Published: (2023)
by: Hanchi, Ayoub El, et al.
Published: (2023)
Foresighted Online Policy Optimization with Interference
by: Xiang, Liner, et al.
Published: (2025)
by: Xiang, Liner, et al.
Published: (2025)
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
by: Lu, Miao, et al.
Published: (2022)
by: Lu, Miao, et al.
Published: (2022)
Selecting the number of components in PCA via random signflips
by: Hong, David, et al.
Published: (2020)
by: Hong, David, et al.
Published: (2020)
On the Generalization and Robustness in Conditional Value-at-Risk
by: Mulumudi, Dinesh Karthik, et al.
Published: (2026)
by: Mulumudi, Dinesh Karthik, et al.
Published: (2026)
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift
by: Boeken, Philip, et al.
Published: (2024)
by: Boeken, Philip, et al.
Published: (2024)
Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data
by: Fu, Hengyu, et al.
Published: (2024)
by: Fu, Hengyu, et al.
Published: (2024)
A Researcher's Guide to Empirical Risk Minimization
by: van der Laan, Lars
Published: (2026)
by: van der Laan, Lars
Published: (2026)
Fast Rates for Nonstationary Weighted Risk Minimization
by: Brock, Tobias, et al.
Published: (2026)
by: Brock, Tobias, et al.
Published: (2026)
On the Variance, Admissibility, and Stability of Empirical Risk Minimization
by: Kur, Gil, et al.
Published: (2023)
by: Kur, Gil, et al.
Published: (2023)
Minimax Linear Regression under the Quantile Risk
by: Hanchi, Ayoub El, et al.
Published: (2024)
by: Hanchi, Ayoub El, et al.
Published: (2024)
Adversarial Surrogate Risk Bounds for Binary Classification
by: Frank, Natalie S.
Published: (2025)
by: Frank, Natalie S.
Published: (2025)
The Adversarial Consistency of Surrogate Risks for Binary Classification
by: Frank, Natalie, et al.
Published: (2023)
by: Frank, Natalie, et al.
Published: (2023)
Similar Items
-
MultiRisk: Multiple Risk Control via Iterative Score Thresholding
by: Joshi, Sunay, et al.
Published: (2025) -
Foundations of Top-$k$ Decoding For Language Models
by: Noarov, Georgy, et al.
Published: (2025) -
Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
by: Joshi, Sunay, et al.
Published: (2025) -
Solving a Research Problem in Mathematical Statistics with AI Assistance
by: Dobriban, Edgar
Published: (2025) -
Minimax Statistical Estimation under Wasserstein Contamination
by: Chao, Patrick, et al.
Published: (2023)