![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Rafael Izbicki
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j18]Victor Dheur, Tanguy Bosser, Rafael Izbicki, Souhaib Ben Taieb:
Distribution-free conformal joint prediction regions for neural marked temporal point processes. Mach. Learn. 113(9): 7055-7102 (2024) - [c8]Luca Masserano, Alexander Shen, Michele Doro, Tommaso Dorigo, Rafael Izbicki, Ann B. Lee:
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference. ICML 2024 - [i27]Victor Dheur, Tanguy Bosser, Rafael Izbicki, Souhaib Ben Taieb:
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes. CoRR abs/2401.04612 (2024) - [i26]Luca Masserano, Alexander Shen, Michele Doro, Tommaso Dorigo, Rafael Izbicki, Ann B. Lee:
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference. CoRR abs/2402.05330 (2024) - [i25]Luben M. C. Cabezas, Mateus P. Otto, Rafael Izbicki, Rafael Bassi Stern:
Regression Trees for Fast and Adaptive Prediction Intervals. CoRR abs/2402.07357 (2024) - 2023
- [j17]Luben M. C. Cabezas
, Rafael Izbicki
, Rafael Bassi Stern
:
Hierarchical clustering: Visualization, feature importance and model selection. Appl. Soft Comput. 141: 110303 (2023) - [j16]Luís Gustavo Esteves, Rafael Izbicki
, Julio Michael Stern
, Rafael Bassi Stern
:
Logical coherence in Bayesian simultaneous three-way hypothesis tests. Int. J. Approx. Reason. 152: 297-309 (2023) - [j15]Felipe Maia Polo
, Rafael Izbicki, Evanildo G. Lacerda Jr., Juan Pablo Ibieta-Jimenez, Renato Vicente:
A unified framework for dataset shift diagnostics. Inf. Sci. 649: 119612 (2023) - [j14]Victor Coscrato
, Marco Henrique de Almeida Inácio, Tiago Botari, Rafael Izbicki
:
NLS: An accurate and yet easy-to-interpret prediction method. Neural Networks 162: 117-130 (2023) - [c7]Luca Masserano, Tommaso Dorigo, Rafael Izbicki, Mikael Kuusela, Ann B. Lee:
Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems. AISTATS 2023: 2960-2974 - [i24]Gustavo Grivol, Rafael Izbicki
, Alex A. Okuno, Rafael Bassi Stern:
Flexible conditional density estimation for time series. CoRR abs/2301.09671 (2023) - [i23]Gabriel O. Assunção, Rafael Izbicki
, Marcos O. Prates:
Is augmentation effective to improve prediction in imbalanced text datasets? CoRR abs/2304.10283 (2023) - [i22]Milene Regina dos Santos, Rafael Izbicki:
Expertise-based Weighting for Regression Models with Noisy Labels. CoRR abs/2305.07430 (2023) - 2022
- [j13]Rafael Izbicki, Gilson Y. Shimizu, Rafael Bassi Stern:
CD-split and HPD-split: Efficient Conformal Regions in High Dimensions. J. Mach. Learn. Res. 23: 87:1-87:32 (2022) - [i21]Gilson Y. Shimizu, Rafael Izbicki, Denis Valle:
A new LDA formulation with covariates. CoRR abs/2202.11527 (2022) - [i20]Felipe Maia Polo, Rafael Izbicki
, Evanildo Gomes Lacerda Jr., Juan Pablo Ibieta-Jimenez, Renato Vicente:
A unified framework for dataset shift diagnostics. CoRR abs/2205.08340 (2022) - [i19]Biprateep Dey, David Zhao, Jeffrey A. Newman, Brett H. Andrews, Rafael Izbicki
, Ann B. Lee:
Calibrated Predictive Distributions via Diagnostics for Conditional Coverage. CoRR abs/2205.14568 (2022) - [i18]Luca Masserano, Tommaso Dorigo, Rafael Izbicki
, Mikael Kuusela, Ann B. Lee:
Simulation-Based Inference with WALDO: Perfectly Calibrated Confidence Regions Using Any Prediction or Posterior Estimation Algorithm. CoRR abs/2205.15680 (2022) - [i17]Gilson Y. Shimizu, Rafael Izbicki
, André C. P. L. F. de Carvalho:
Model interpretation using improved local regression with variable importance. CoRR abs/2209.05371 (2022) - [i16]Mateus P. Otto, Rafael Izbicki
:
RFFNet: Scalable and interpretable kernel methods via Random Fourier Features. CoRR abs/2211.06410 (2022) - 2021
- [j12]Marco Henrique de Almeida Inácio, Rafael Izbicki
, Bálint Gyires-Tóth:
Distance assessment and analysis of high-dimensional samples using variational autoencoders. Inf. Sci. 557: 407-420 (2021) - [c6]David Zhao, Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee:
Diagnostics for conditional density models and Bayesian inference algorithms. UAI 2021: 1830-1840 - [i15]Niccolò Dalmasso, David Zhao, Rafael Izbicki, Ann B. Lee:
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification. CoRR abs/2107.03920 (2021) - [i14]Trey McNeely, Galen Vincent, Rafael Izbicki, Kimberly M. Wood, Ann B. Lee:
Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones. CoRR abs/2109.12029 (2021) - [i13]Biprateep Dey, Jeffrey A. Newman, Brett H. Andrews, Rafael Izbicki, Ann B. Lee, David Zhao, Markus Michael Rau, Alex I. Malz:
Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression. CoRR abs/2110.15209 (2021) - [i12]Luben M. C. Cabezas, Rafael Izbicki, Rafael Bassi Stern:
Hierarchical clustering: visualization, feature importance and model selection. CoRR abs/2112.01372 (2021) - 2020
- [j11]Niccolò Dalmasso, Taylor Pospisil, Ann B. Lee, Rafael Izbicki
, Peter E. Freeman, Alex I. Malz:
Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference. Astron. Comput. 30: 100362 (2020) - [j10]Marco Henrique de Almeida Inácio, Rafael Izbicki
, Luis Ernesto Salasar:
Comparing two populations using Bayesian Fourier series density estimation. Commun. Stat. Simul. Comput. 49(1): 261-282 (2020) - [j9]Victor Coscrato, Marco Henrique de Almeida Inácio
, Rafael Izbicki
:
The NN-Stacking: Feature weighted linear stacking through neural networks. Neurocomputing 399: 141-152 (2020) - [c5]Rafael Izbicki, Gilson Y. Shimizu, Rafael Bassi Stern:
Flexible distribution-free conditional predictive bands using density estimators. AISTATS 2020: 3068-3077 - [c4]Niccolò Dalmasso, Ann B. Lee, Rafael Izbicki, Taylor Pospisil, Ilmun Kim, Chieh-An Lin:
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations. AISTATS 2020: 3349-3361 - [c3]Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee:
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. ICML 2020: 2323-2334 - [i11]Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee:
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. CoRR abs/2002.10399 (2020) - [i10]Rafael Izbicki, Gilson Y. Shimizu, Rafael Bassi Stern:
CD-split: efficient conformal regions in high dimensions. CoRR abs/2007.12778 (2020) - [i9]Tiago Botari, Frederik Hvilshøj, Rafael Izbicki, André C. P. L. F. de Carvalho:
MeLIME: Meaningful Local Explanation for Machine Learning Models. CoRR abs/2009.05818 (2020)
2010 – 2019
- 2019
- [j8]Luís Gustavo Esteves, Rafael Izbicki
, Julio Michael Stern
, Rafael Bassi Stern
:
Pragmatic Hypotheses in the Evolution of Science. Entropy 21(9): 883 (2019) - [j7]Afonso Fernandes Vaz, Rafael Izbicki, Rafael Bassi Stern:
Quantification Under Prior Probability Shift: the Ratio Estimator and its Extensions. J. Mach. Learn. Res. 20: 79:1-79:33 (2019) - [j6]Márcio Alves Diniz, Rafael Izbicki
, Danilo Lopes, Luis Ernesto Salasar:
Comparing probabilistic predictive models applied to football. J. Oper. Res. Soc. 70(5): 770-782 (2019) - [c2]Tiago Botari
, Rafael Izbicki
, André C. P. L. F. de Carvalho
:
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space. PKDD/ECML Workshops (1) 2019: 241-252 - [i8]Victor Coscrato, Marco Henrique de Almeida Inácio, Rafael Izbicki:
The NN-Stacking: Feature weighted linear stacking through neural networks. CoRR abs/1906.09735 (2019) - [i7]Tiago Botari, Rafael Izbicki, André C. P. L. F. de Carvalho:
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space. CoRR abs/1907.13525 (2019) - [i6]Marco Henrique de Almeida Inácio, Rafael Izbicki, Rafael Bassi Stern:
Conditional independence testing: a predictive perspective. CoRR abs/1908.00105 (2019) - [i5]Marco Henrique de Almeida Inácio, Rafael Izbicki, Bálint Gyires-Tóth:
Distance Assessment and Hypothesis Testing of High-Dimensional Samples using Variational Autoencoders. CoRR abs/1909.07182 (2019) - [i4]Victor Coscrato, Marco Henrique de Almeida Inácio, Tiago Botari, Rafael Izbicki:
NLS: an accurate and yet easy-to-interpret regression method. CoRR abs/1910.05206 (2019) - [i3]Rafael Izbicki, Gilson Y. Shimizu, Rafael Bassi Stern:
Distribution-free conditional predictive bands using density estimators. CoRR abs/1910.05575 (2019) - 2018
- [i2]Afonso Fernandes Vaz, Rafael Izbicki, Rafael Bassi Stern:
Quantification under prior probability shift: the ratio estimator and its extensions. CoRR abs/1807.03929 (2018) - 2017
- [j5]Julio Michael Stern
, Rafael Izbicki
, Luís Gustavo Esteves, Rafael Bassi Stern
:
Logically-consistent hypothesis testing and the hexagon of oppositions. Log. J. IGPL 25(5): 741-757 (2017) - 2016
- [j4]Luís Gustavo Esteves, Rafael Izbicki
, Julio Michael Stern
, Rafael Bassi Stern
:
The Logical Consistency of Simultaneous Agnostic Hypothesis Tests. Entropy 18(7): 256 (2016) - 2015
- [j3]Gustavo Miranda da Silva, Luís Gustavo Esteves, Victor Fossaluza
, Rafael Izbicki
, Sergio Wechsler:
A Bayesian Decision-Theoretic Approach to Logically-Consistent Hypothesis Testing. Entropy 17(10): 6534-6559 (2015) - [j2]Rafael Izbicki
, Luís Gustavo Esteves:
Logical consistency in simultaneous statistical test procedures. Log. J. IGPL 23(5): 732-758 (2015) - 2014
- [c1]Rafael Izbicki, Ann B. Lee, Chad Schafer:
High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation. AISTATS 2014: 420-429 - [i1]Rafael Izbicki, Rafael Bassi Stern:
Learning with many experts: model selection and sparsity. CoRR abs/1405.3292 (2014) - 2013
- [j1]Rafael Izbicki
, Rafael Bassi Stern
:
Learning with many experts: Model selection and sparsity. Stat. Anal. Data Min. 6(6): 565-577 (2013)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-02 21:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint