Pandora's Regret: A Proper Scoring Rule for Evaluating Sequential Search

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Flores, Gerardo A., Deshpande, Yash, Brea, Jannis R., Wilson, Ashia C.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Proper Scoring Rule for Virtual Staining
di: Tonks, Samuel, et al.
Pubblicazione: (2026)

Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
di: Flores, Gerardo A., et al.
Pubblicazione: (2025)

Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration
di: Ferrer, Luciana, et al.
Pubblicazione: (2024)

A Consequentialist Critique of Binary Classification Evaluation: Theory, Practice, and Tools
di: Flores, Gerardo, et al.
Pubblicazione: (2025)

Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules
di: Hofman, Paul, et al.
Pubblicazione: (2024)

Uncertainty Quantification for Regression using Proper Scoring Rules
di: Fishkov, Alexander, et al.
Pubblicazione: (2025)

Language Generation with Strictly Proper Scoring Rules
di: Shao, Chenze, et al.
Pubblicazione: (2024)

Adaptive Backtracking Line Search
di: Cavalcanti, Joao V., et al.
Pubblicazione: (2024)

Position: AI Evaluations Should be Grounded on a Theory of Capability
di: Jo, Nathanael, et al.
Pubblicazione: (2025)

Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks
di: Hofman, Paul, et al.
Pubblicazione: (2025)

The Approximate Fisher Influence Function: Faster Estimation of Data Influence in Statistical Models
di: Lev, Omri, et al.
Pubblicazione: (2024)

Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules
di: Landsgesell, Jonas, et al.
Pubblicazione: (2026)

Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
di: Alberge, Julie, et al.
Pubblicazione: (2024)

Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions
di: Boeken, Philip, et al.
Pubblicazione: (2025)

Semivalue-based data valuation is arbitrary and gameable
di: Diehl, Hannah, et al.
Pubblicazione: (2025)

Efficient and accurate steering of Large Language Models through attention-guided feature learning
di: Davarmanesh, Parmida, et al.
Pubblicazione: (2026)

Mean-field underdamped Langevin dynamics and its spacetime discretization
di: Fu, Qiang, et al.
Pubblicazione: (2023)

Calibrated Regression Against An Adversary Without Regret
di: Deshpande, Shachi, et al.
Pubblicazione: (2023)

Adaptive Kernel Selection for Stein Variational Gradient Descent
di: Melcher, Moritz, et al.
Pubblicazione: (2025)

From Cross-Validation to SURE: Asymptotic Risk of Tuned Regularized Estimators
di: Adusumilli, Karun, et al.
Pubblicazione: (2026)

High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm
di: Srinivasan, Vishwak, et al.
Pubblicazione: (2024)

Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality
di: Liu, Junyan, et al.
Pubblicazione: (2025)

The Fallacy of Minimizing Cumulative Regret in the Sequential Task Setting
di: Xu, Ziping, et al.
Pubblicazione: (2024)

Layered Unlearning for Adversarial Relearning
di: Qian, Timothy, et al.
Pubblicazione: (2025)

Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm
di: Srinivasan, Vishwak, et al.
Pubblicazione: (2023)

Better Uncertainty Calibration via Proper Scores for Classification and Beyond
di: Gruber, Sebastian G., et al.
Pubblicazione: (2022)

Polynomial Regret Concentration of UCB for Non-Deterministic State Transitions
di: Cömer, Can, et al.
Pubblicazione: (2025)

UCD: Unlearning in LLMs via Contrastive Decoding
di: Suriyakumar, Vinith M., et al.
Pubblicazione: (2025)

Stopping Bayesian Optimization with Probabilistic Regret Bounds
di: Wilson, James T.
Pubblicazione: (2024)

Contextual Pandora's Box
di: Atsidakou, Alexia, et al.
Pubblicazione: (2022)

Forecast Evaluation and the Relationship of Regret and Calibration
di: Derr, Rabanus, et al.
Pubblicazione: (2024)

A Novel Framework for Uncertainty Quantification via Proper Scores for Classification and Beyond
di: Gruber, Sebastian G.
Pubblicazione: (2025)

Robust Layerwise Scaling Rules by Proper Weight Decay Tuning
di: Fan, Zhiyuan, et al.
Pubblicazione: (2025)

Scoring Rules and Calibration for Imprecise Probabilities
di: Fröhlich, Christian, et al.
Pubblicazione: (2024)

The Fast Mixing Mechanism for Differential Privacy
di: Lev, Omri, et al.
Pubblicazione: (2026)

The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches
di: Lev, Omri, et al.
Pubblicazione: (2025)

Distributional Diffusion Models with Scoring Rules
di: De Bortoli, Valentin, et al.
Pubblicazione: (2025)

Calibrated and Conformal Propensity Scores for Causal Effect Estimation
di: Deshpande, Shachi, et al.
Pubblicazione: (2023)

Evaluation without Generation: Non-Generative Assessment of Harmful Model Specialization with Applications to CSAM
di: Suriyakumar, Vinith M., et al.
Pubblicazione: (2026)

Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory
di: Dong, Songwei, et al.
Pubblicazione: (2026)