Co-occurring keywords · papers mentioning both
Papers
Probabilistic Rainfall Downscaling: Joint Generalized Neural Models with Censored Spatial Gaussian Copula
JMLR 2026
Bayesian Score Calibration for Approximate Models
JMLR 2025
Distributional Diffusion Models with Scoring Rules
ICML 2025
Inverse Optimization with Prediction Market: A Characterization of Scoring Rules for Elciting System States
AISTATS 2025
Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition
ICML 2025
The Proportional Veto Principle for Approval Ballots
IJCAI 2025
Language Generation with Strictly Proper Scoring Rules
ICML 2024
Online Information Acquisition: Hiring Multiple Agents
ICLR 2024
Participation Incentives in Approval-Based Committee Elections
AAAI 2024
Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization
JMLR 2024
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
ICLR 2024
Refined Characterizations of Approval-Based Committee Scoring Rules
AAAI 2024
Beyond calibration: estimating the grouping loss of modern neural networks
ICLR 2023
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
ICML 2023
Non-adversarial training of Neural SDEs with signature kernel scores
NeurIPS 2023
Optimal Scoring Rules for Multi-dimensional Effort
COLT 2023
Rank Aggregation Using Scoring Rules
AAAI 2023
U-Calibration: Forecasting for an Unknown Agent
COLT 2023
Pseudo-spherical Knowledge Distillation
IJCAI 2022
Targeted Negative Campaigning: Complexity and Approximations
AAAI 2021
A Parameterized Perspective on Protecting Elections
IJCAI 2019
Countdown Regression: Sharp and Calibrated Survival Predictions
UAI 2019
Exploiting Social Influence to Control Elections Based on Scoring Rules
IJCAI 2019
Generalized Distance Bribery
AAAI 2019
Vector-Valued Property Elicitation
COLT 2015