Online Conformal Prediction: Enforcing monotonicity via Online Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Rivera, Eduardo Ochoa, 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)
Online Classification with Predictions
by: Raman, Vinod, et al.
Published: (2024)
by: Raman, Vinod, et al.
Published: (2024)
Optimal Thresholding Linear Bandit
by: Rivera, Eduardo Ochoa, et al.
Published: (2024)
by: Rivera, Eduardo Ochoa, et al.
Published: (2024)
Near Optimal Pure Exploration in Logistic Bandits
by: Rivera, Eduardo Ochoa, et al.
Published: (2024)
by: Rivera, Eduardo Ochoa, et al.
Published: (2024)
On the Minimax Regret in Online Ranking with Top-k Feedback
by: Zhang, Mingyuan, et al.
Published: (2023)
by: Zhang, Mingyuan, et al.
Published: (2023)
Online Learning with Set-Valued Feedback
by: Raman, Vinod, et al.
Published: (2023)
by: Raman, Vinod, et al.
Published: (2023)
A Combinatorial Characterization of Supervised Online Learnability
by: Raman, Vinod, et al.
Published: (2023)
by: Raman, Vinod, et al.
Published: (2023)
Online Infinite-Dimensional Regression: Learning Linear Operators
by: Raman, Vinod, et al.
Published: (2023)
by: Raman, Vinod, et al.
Published: (2023)
Smoothed Online Classification can be Harder than Batch Classification
by: Raman, Vinod, et al.
Published: (2024)
by: Raman, Vinod, et al.
Published: (2024)
Distribution-Free Robust Predict-Then-Optimize in Function Spaces
by: Patel, Yash, et al.
Published: (2026)
by: Patel, Yash, et al.
Published: (2026)
If generative AI is the answer, what is the question?
by: Tewari, Ambuj
Published: (2025)
by: Tewari, Ambuj
Published: (2025)
Multiclass Online Learnability under Bandit Feedback
by: Raman, Ananth, et al.
Published: (2023)
by: Raman, Ananth, et al.
Published: (2023)
Compute Aligned Training: Optimizing for Test Time Inference
by: Ousherovitch, Adam, et al.
Published: (2026)
by: Ousherovitch, Adam, et al.
Published: (2026)
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)
The Complexity of Sequential Prediction in Dynamical Systems
by: Raman, Vinod, et al.
Published: (2024)
by: Raman, Vinod, et al.
Published: (2024)
A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs
by: Hong, Kihyuk, et al.
Published: (2024)
by: Hong, Kihyuk, et al.
Published: (2024)
On the Benefits of Active Data Collection in Operator Learning
by: Subedi, Unique, et al.
Published: (2024)
by: Subedi, Unique, et al.
Published: (2024)
Operator Learning: A Statistical Perspective
by: Subedi, Unique, et al.
Published: (2025)
by: Subedi, Unique, et al.
Published: (2025)
An Asymptotically Optimal Algorithm for the Convex Hull Membership Problem
by: Qiao, Gang, et al.
Published: (2023)
by: Qiao, Gang, et al.
Published: (2023)
Learning to Partially Defer for Sequences
by: Rayan, Sahana, et al.
Published: (2025)
by: Rayan, Sahana, et al.
Published: (2025)
Robust Bayesian Optimization via Localized Online Conformal Prediction
by: Kim, Dongwon, et al.
Published: (2024)
by: Kim, Dongwon, et al.
Published: (2024)
Is Zero-Shot Super-Resolution Possible in Operator Learning?
by: Subedi, Unique, et al.
Published: (2026)
by: Subedi, Unique, et al.
Published: (2026)
A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
by: Hong, Kihyuk, et al.
Published: (2025)
by: Hong, Kihyuk, et al.
Published: (2025)
Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators
by: Subedi, Unique, et al.
Published: (2024)
by: Subedi, Unique, et al.
Published: (2024)
Online Localized Conformal Prediction
by: Lai, Yuheng, et al.
Published: (2026)
by: Lai, Yuheng, et al.
Published: (2026)
Online Conformal Prediction via Universal Portfolio Algorithms
by: Liu, Tuo, et al.
Published: (2026)
by: Liu, Tuo, et al.
Published: (2026)
Quantum Learning Theory Beyond Batch Binary Classification
by: Mohan, Preetham, et al.
Published: (2023)
by: Mohan, Preetham, et al.
Published: (2023)
Distribution-informed Online Conformal Prediction
by: Hu, Dongjian, et al.
Published: (2025)
by: Hu, Dongjian, et al.
Published: (2025)
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction
by: Zhang, Yunchuan, et al.
Published: (2023)
by: Zhang, Yunchuan, et al.
Published: (2023)
On Generation in Metric Spaces
by: Li, Jiaxun, et al.
Published: (2026)
by: Li, Jiaxun, et al.
Published: (2026)
Generation through the lens of learning theory
by: Li, Jiaxun, et al.
Published: (2024)
by: Li, Jiaxun, et al.
Published: (2024)
Offline Constrained Reinforcement Learning under Partial Data Coverage
by: Ko, Seokmin, et al.
Published: (2025)
by: Ko, Seokmin, et al.
Published: (2025)
A Characterization of Multioutput Learnability
by: Raman, Vinod, et al.
Published: (2023)
by: Raman, Vinod, et al.
Published: (2023)
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)
Characterizing the Multiclass Learnability of Forgiving 0-1 Loss Functions
by: Trauger, Jacob, et al.
Published: (2025)
by: Trauger, Jacob, et al.
Published: (2025)
Online Calibrated and Conformal Prediction Improves Bayesian Optimization
by: Deshpande, Shachi, et al.
Published: (2021)
by: Deshpande, Shachi, et al.
Published: (2021)
Enhanced Multi-model Online Conformal Prediction
by: Hajihashemi, Erfan, et al.
Published: (2026)
by: Hajihashemi, Erfan, et al.
Published: (2026)
Exploring the Noise Robustness of Online Conformal Prediction
by: Xi, Huajun, et al.
Published: (2025)
by: Xi, Huajun, et al.
Published: (2025)
The Benefit of Being Bayesian in Online Conformal Prediction
by: Zhang, Zhiyu, et al.
Published: (2024)
by: Zhang, Zhiyu, et al.
Published: (2024)
Similar Items
-
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
by: Rivera, Eduardo Ochoa, et al.
Published: (2024) -
Online Classification with Predictions
by: Raman, Vinod, et al.
Published: (2024) -
Optimal Thresholding Linear Bandit
by: Rivera, Eduardo Ochoa, et al.
Published: (2024) -
Near Optimal Pure Exploration in Logistic Bandits
by: Rivera, Eduardo Ochoa, et al.
Published: (2024) -
On the Minimax Regret in Online Ranking with Top-k Feedback
by: Zhang, Mingyuan, et al.
Published: (2023)