Rethinking Evaluation Metric for Probability Estimation Models Using Esports Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Choi, Euihyeon, Kim, Jooyoung, Lee, Wonkyung |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Integral Imprecise Probability Metrics
por: Chau, Siu Lun, et al.
Publicado: (2025)
por: Chau, Siu Lun, et al.
Publicado: (2025)
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics
por: Kong, Insung, et al.
Publicado: (2025)
por: Kong, Insung, et al.
Publicado: (2025)
Improving Diffusion-Based Generative Models via Approximated Optimal Transport
por: Kim, Daegyu, et al.
Publicado: (2024)
por: Kim, Daegyu, et al.
Publicado: (2024)
An Information Theoretic Evaluation Metric For Strong Unlearning
por: Jeon, Dongjae, et al.
Publicado: (2024)
por: Jeon, Dongjae, et al.
Publicado: (2024)
DeepHQ: Learned Hierarchical Quantizer for Progressive Deep Image Coding
por: Lee, Jooyoung, et al.
Publicado: (2024)
por: Lee, Jooyoung, et al.
Publicado: (2024)
Objective Metrics for Evaluating Large Language Models Using External Data Sources
por: Du, Haoze, et al.
Publicado: (2025)
por: Du, Haoze, et al.
Publicado: (2025)
Rethinking Distance Metrics for Counterfactual Explainability
por: Williams, Joshua Nathaniel, et al.
Publicado: (2024)
por: Williams, Joshua Nathaniel, et al.
Publicado: (2024)
Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking
por: Herurkar, Dayananda, et al.
Publicado: (2025)
por: Herurkar, Dayananda, et al.
Publicado: (2025)
DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection
por: Song, Jaewoo, et al.
Publicado: (2025)
por: Song, Jaewoo, et al.
Publicado: (2025)
Rethinking State Tracking in Recurrent Models Through Error Control Dynamics
por: Chung, Jiwan, et al.
Publicado: (2026)
por: Chung, Jiwan, et al.
Publicado: (2026)
Data-Driven Energy Estimation for Virtual Servers Using Combined System Metrics and Machine Learning
por: Sangha, Amandip
Publicado: (2025)
por: Sangha, Amandip
Publicado: (2025)
Evaluating Local Explainability Metrics for Machine Learning Models on Tabular Data
por: Pereira, Tomás, et al.
Publicado: (2026)
por: Pereira, Tomás, et al.
Publicado: (2026)
Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
por: Kim, Sunghwan, et al.
Publicado: (2025)
por: Kim, Sunghwan, et al.
Publicado: (2025)
Token-Picker: Accelerating Attention in Text Generation with Minimized Memory Transfer via Probability Estimation
por: Park, Junyoung, et al.
Publicado: (2024)
por: Park, Junyoung, et al.
Publicado: (2024)
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
por: Regenwetter, Lyle, et al.
Publicado: (2023)
por: Regenwetter, Lyle, et al.
Publicado: (2023)
Kernel Quantile Embeddings and Associated Probability Metrics
por: Naslidnyk, Masha, et al.
Publicado: (2025)
por: Naslidnyk, Masha, et al.
Publicado: (2025)
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
por: Nguyen, Manh, et al.
Publicado: (2025)
por: Nguyen, Manh, et al.
Publicado: (2025)
Estimating the Probabilities of Rare Outputs in Language Models
por: Wu, Gabriel, et al.
Publicado: (2024)
por: Wu, Gabriel, et al.
Publicado: (2024)
Temporal and Semantic Evaluation Metrics for Foundation Models in Post-Hoc Analysis of Robotic Sub-tasks
por: Salfity, Jonathan, et al.
Publicado: (2024)
por: Salfity, Jonathan, et al.
Publicado: (2024)
Scouting By Reward: VLM-TO-IRL-Driven Player Selection For Esports
por: Yan, Qing, et al.
Publicado: (2026)
por: Yan, Qing, et al.
Publicado: (2026)
Enhancing PM2.5 Data Imputation and Prediction in Air Quality Monitoring Networks Using a KNN-SINDy Hybrid Model
por: Choi, Yohan, et al.
Publicado: (2024)
por: Choi, Yohan, et al.
Publicado: (2024)
Uncertainty Estimation for Path Loss and Radio Metric Models
por: Bose, Alexis, et al.
Publicado: (2025)
por: Bose, Alexis, et al.
Publicado: (2025)
Inverse Probability of Treatment Weighting with Deep Sequence Models Enables Accurate treatment effect Estimation from Electronic Health Records
por: Lee, Junghwan, et al.
Publicado: (2024)
por: Lee, Junghwan, et al.
Publicado: (2024)
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
por: Lee, Haanvid, et al.
Publicado: (2024)
por: Lee, Haanvid, et al.
Publicado: (2024)
Density Ratio Estimation with Conditional Probability Paths
por: Yu, Hanlin, et al.
Publicado: (2025)
por: Yu, Hanlin, et al.
Publicado: (2025)
Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
por: Haug, Tobias, et al.
Publicado: (2023)
por: Haug, Tobias, et al.
Publicado: (2023)
Rethinking Caching for LLM Serving Systems: Beyond Traditional Heuristics
por: Kim, Jungwoo, et al.
Publicado: (2025)
por: Kim, Jungwoo, et al.
Publicado: (2025)
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
por: Heo, Jung Hwan, et al.
Publicado: (2023)
por: Heo, Jung Hwan, et al.
Publicado: (2023)
Estimating the Joint Probability of Scenario Parameters with Gaussian Mixture Copula Models
por: Reichenbächer, Christian, et al.
Publicado: (2025)
por: Reichenbächer, Christian, et al.
Publicado: (2025)
Real vs. Semi-Simulated: Rethinking Evaluation for Treatment Effect Estimation
por: Panagopoulos, George
Publicado: (2026)
por: Panagopoulos, George
Publicado: (2026)
Selection of the Most Probable Best
por: Kim, Taeho, et al.
Publicado: (2022)
por: Kim, Taeho, et al.
Publicado: (2022)
Orbital Depot Location Optimization for Satellite Constellation Servicing with Low-Thrust Transfers
por: Choi, Euihyeon, et al.
Publicado: (2025)
por: Choi, Euihyeon, et al.
Publicado: (2025)
Formulation and Analysis for Integrated Spacecraft Routing and Trajectory Design Problem
por: Choi, Euihyeon, et al.
Publicado: (2026)
por: Choi, Euihyeon, et al.
Publicado: (2026)
Generative Modeling of Class Probability for Multi-Modal Representation Learning
por: Shin, Jungkyoo, et al.
Publicado: (2025)
por: Shin, Jungkyoo, et al.
Publicado: (2025)
Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test
por: Paik, Seunghoon, et al.
Publicado: (2023)
por: Paik, Seunghoon, et al.
Publicado: (2023)
Interpretable Probability Estimation with LLMs via Shapley Reconstruction
por: Nan, Yang, et al.
Publicado: (2026)
por: Nan, Yang, et al.
Publicado: (2026)
How Scale Breaks "Normalized Stress" and KL Divergence: Rethinking Quality Metrics
por: Smelser, Kiran, et al.
Publicado: (2025)
por: Smelser, Kiran, et al.
Publicado: (2025)
PandaSkill - Player Performance and Skill Rating in Esports: Application to League of Legends
por: De Bois, Maxime, et al.
Publicado: (2025)
por: De Bois, Maxime, et al.
Publicado: (2025)
Probability Signature: Bridging Data Semantics and Embedding Structure in Language Models
por: Yao, Junjie, et al.
Publicado: (2025)
por: Yao, Junjie, et al.
Publicado: (2025)
Centrality Estimators for Probability Density Functions
por: Ziou, Djemel
Publicado: (2024)
por: Ziou, Djemel
Publicado: (2024)
Ejemplares similares
-
Integral Imprecise Probability Metrics
por: Chau, Siu Lun, et al.
Publicado: (2025) -
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics
por: Kong, Insung, et al.
Publicado: (2025) -
Improving Diffusion-Based Generative Models via Approximated Optimal Transport
por: Kim, Daegyu, et al.
Publicado: (2024) -
An Information Theoretic Evaluation Metric For Strong Unlearning
por: Jeon, Dongjae, et al.
Publicado: (2024) -
DeepHQ: Learned Hierarchical Quantizer for Progressive Deep Image Coding
por: Lee, Jooyoung, et al.
Publicado: (2024)