Izbicki, Rafael

1. CD-split and HPD-split: efficient conformal regions in high dimensions
   2020/07/24 by Rafael Izbicki, Gilson Shimizu, Izbicki, Rafael +3 · 18 citations
   Computer Science · Mathematics · #62G15 #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME) #Statistical Methods and Inference
2. Flexible distribution-free conditional predictive bands using density estimators
   2019/10/12 by Rafael Izbicki, Gilson T. Shimizu, Izbicki, Rafael +3 · 7 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
3. Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation
   2017/04/26 by Izbicki, Rafael, Lee, Ann B. · 4 citations
   #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
4. Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems
   2022/05/31 by Luca Masserano, T. Dorigo, Masserano, Luca +7 · 4 citations
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
5. MeLIME: Meaningful Local Explanation for Machine Learning Models
   2020/09/12 by Tiago Botari, Frederik Hvilshøj, Botari, Tiago +5 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
6. Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)
   2022/05/29 by Biprateep Dey, David Zhao, Dey, Biprateep +9 · 2 citations
   Computer Science · Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #FOS: Physical sciences #Forecasting Techniques and Applications #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
7. Diagnostics for Conditional Density Models and Bayesian Inference Algorithms
   2021/02/20 by David Zhao, Zhao, David, Niccolò Dalmasso +5 · 2 citations
   Computer Science · Decision Sciences · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Probabilistic and Robust Engineering Design #Statistical Methods and Inference
8. Regression Trees for Fast and Adaptive Prediction Intervals
   2024/02/12 by Cabezas, Luben M. C., Otto, Mateus P., Izbicki, Rafael +1 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Quantification under prior probability shift: the ratio estimator and\n its extensions
   2018/07/10 by Afonso Fernandes Vaz, Rafael Izbicki, Vaz, Afonso Fernandes +3 · 1 citation
   Computer Science · Mathematics · #62F12 #62G05 #62G08 #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
10. Epistemic Uncertainty in Conformal Scores: A Unified Approach
    2025/02/10 by Luben M. C. Cabezas, Vanessa Sousa dos Santos, Cabezas, Luben M. C. +5 · 4 citations
    Decision Sciences · #Risk and Safety Analysis #Multi-Criteria Decision Making