Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration
Fuente:
arXiv
Saved in:
| Main Authors: | Perez-Lebel, Alexandre, Varoquaux, Gael, Koyejo, Sanmi, Doutreligne, Matthieu, Morvan, Marine Le |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Imputation for prediction: beware of diminishing returns
by: Morvan, Marine Le, et al.
Published: (2024)
by: Morvan, Marine Le, et al.
Published: (2024)
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
by: Qu, Jingang, et al.
Published: (2025)
by: Qu, Jingang, et al.
Published: (2025)
TabICLv2: A better, faster, scalable, and open tabular foundation model
by: Qu, Jingang, et al.
Published: (2026)
by: Qu, Jingang, et al.
Published: (2026)
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
by: Alberge, Julie, et al.
Published: (2024)
by: Alberge, Julie, et al.
Published: (2024)
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers
by: Plaud, Roman, et al.
Published: (2025)
by: Plaud, Roman, et al.
Published: (2025)
Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified?
by: Salaudeen, Olawale, et al.
Published: (2025)
by: Salaudeen, Olawale, et al.
Published: (2025)
Causal thinking for decision making on Electronic Health Records: why and how
by: Doutreligne, Matthieu, et al.
Published: (2023)
by: Doutreligne, Matthieu, et al.
Published: (2023)
HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
by: Zhu, Junzhe, et al.
Published: (2023)
by: Zhu, Junzhe, et al.
Published: (2023)
Confidence Calibration of Classifiers with Many Classes
by: LeCoz, Adrien, et al.
Published: (2024)
by: LeCoz, Adrien, et al.
Published: (2024)
A Framework for Objective-Driven Dynamical Stochastic Fields
by: Zhang, Yibo Jacky, et al.
Published: (2025)
by: Zhang, Yibo Jacky, et al.
Published: (2025)
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading
by: Stromberg, Nathan, et al.
Published: (2024)
by: Stromberg, Nathan, et al.
Published: (2024)
Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds
by: Chen, Edward, et al.
Published: (2025)
by: Chen, Edward, et al.
Published: (2025)
Investigating Data Contamination for Pre-training Language Models
by: Jiang, Minhao, et al.
Published: (2024)
by: Jiang, Minhao, et al.
Published: (2024)
Extracting books from production language models
by: Ahmed, Ahmed, et al.
Published: (2026)
by: Ahmed, Ahmed, et al.
Published: (2026)
Why Do Safety Guardrails Degrade Across Languages?
by: Zhang, Max, et al.
Published: (2026)
by: Zhang, Max, et al.
Published: (2026)
Logits are All We Need to Adapt Closed Models
by: Hiranandani, Gaurush, et al.
Published: (2025)
by: Hiranandani, Gaurush, et al.
Published: (2025)
Understanding Adversarial Transfer: Why Representation-Space Attacks Fail Where Data-Space Attacks Succeed
by: Gupta, Isha, et al.
Published: (2025)
by: Gupta, Isha, et al.
Published: (2025)
Is Pre-training Truly Better Than Meta-Learning?
by: Miranda, Brando, et al.
Published: (2023)
by: Miranda, Brando, et al.
Published: (2023)
Optimization and Generalization Guarantees for Weight Normalization
by: Cisneros-Velarde, Pedro, et al.
Published: (2024)
by: Cisneros-Velarde, Pedro, et al.
Published: (2024)
Position: Model Collapse Does Not Mean What You Think
by: Schaeffer, Rylan, et al.
Published: (2025)
by: Schaeffer, Rylan, et al.
Published: (2025)
Table Foundation Models: on knowledge pre-training for tabular learning
by: Kim, Myung Jun, et al.
Published: (2025)
by: Kim, Myung Jun, et al.
Published: (2025)
Token-based Decision Criteria Are Suboptimal in In-context Learning
by: Cho, Hakaze, et al.
Published: (2024)
by: Cho, Hakaze, et al.
Published: (2024)
Latent Adversarial Regularization for Offline Preference Optimization
by: Jiang, Enyi, et al.
Published: (2026)
by: Jiang, Enyi, et al.
Published: (2026)
On Fairness of Low-Rank Adaptation of Large Models
by: Ding, Zhoujie, et al.
Published: (2024)
by: Ding, Zhoujie, et al.
Published: (2024)
Reliable and Efficient Amortized Model-based Evaluation
by: Truong, Sang, et al.
Published: (2025)
by: Truong, Sang, et al.
Published: (2025)
Suboptimal Shapley Value Explanations
by: Lu, Xiaolei
Published: (2025)
by: Lu, Xiaolei
Published: (2025)
ALMo: Interactive Aim-Limit-Defined, Multi-Objective System for Personalized High-Dose-Rate Brachytherapy Treatment Planning and Visualization for Cervical Cancer
by: Chen, Edward, et al.
Published: (2026)
by: Chen, Edward, et al.
Published: (2026)
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World
by: Kazdan, Joshua, et al.
Published: (2024)
by: Kazdan, Joshua, et al.
Published: (2024)
Consensus is Not Verification: Why Crowd Wisdom Strategies Fail for LLM Truthfulness
by: Denisov-Blanch, Yegor, et al.
Published: (2026)
by: Denisov-Blanch, Yegor, et al.
Published: (2026)
Post-Training Quantization of Generative and Discriminative LSTM Text Classifiers: A Study of Calibration, Class Balance, and Robustness
by: Rahaman, Md Mushfiqur, et al.
Published: (2025)
by: Rahaman, Md Mushfiqur, et al.
Published: (2025)
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
by: Zhou, Zhanke, et al.
Published: (2025)
by: Zhou, Zhanke, et al.
Published: (2025)
What Causes Polysemanticity? An Alternative Origin Story of Mixed Selectivity from Incidental Causes
by: Lecomte, Victor, et al.
Published: (2023)
by: Lecomte, Victor, et al.
Published: (2023)
Steering Away from Memorization: Reachability-Constrained Reinforcement Learning for Text-to-Image Diffusion
by: Karnik, Sathwik, et al.
Published: (2026)
by: Karnik, Sathwik, et al.
Published: (2026)
Efficient Prediction of Pass@k Scaling in Large Language Models
by: Kazdan, Joshua, et al.
Published: (2025)
by: Kazdan, Joshua, et al.
Published: (2025)
Neural Nonmyopic Bayesian Optimization in Dynamic Cost Settings
by: Truong, Sang T., et al.
Published: (2026)
by: Truong, Sang T., et al.
Published: (2026)
Aligning Compound AI Systems via System-level DPO
by: Wang, Xiangwen, et al.
Published: (2025)
by: Wang, Xiangwen, et al.
Published: (2025)
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
by: Asiedu, Mercy Nyamewaa, et al.
Published: (2023)
by: Asiedu, Mercy Nyamewaa, et al.
Published: (2023)
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers
by: Kängsepp, Markus, et al.
Published: (2022)
by: Kängsepp, Markus, et al.
Published: (2022)
Modeling Multi-Objective Tradeoffs with Monotonic Utility Functions
by: Chen, Edward, et al.
Published: (2024)
by: Chen, Edward, et al.
Published: (2024)
Quantifying Variance in Evaluation Benchmarks
by: Madaan, Lovish, et al.
Published: (2024)
by: Madaan, Lovish, et al.
Published: (2024)
Similar Items
-
Imputation for prediction: beware of diminishing returns
by: Morvan, Marine Le, et al.
Published: (2024) -
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
by: Qu, Jingang, et al.
Published: (2025) -
TabICLv2: A better, faster, scalable, and open tabular foundation model
by: Qu, Jingang, et al.
Published: (2026) -
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
by: Alberge, Julie, et al.
Published: (2024) -
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers
by: Plaud, Roman, et al.
Published: (2025)