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Xudong Sun
ORCID
Publication Activity (10 Years)
Years Active: 2016-2023
Publications (10 Years): 16
Top Topics
Maximum Entropy
Probabilistic Matrix Factorization
Reinforcement Learning
Feature Selection
Top Venues
CoRR
SSCI
ICML
Comput. Stat. Data Anal.
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Publications
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Mariia Sidulova
,
Xudong Sun
,
Alexej Gossmann
Deep Unsupervised Clustering for Conditional Identification of Subgroups Within a Digital Pathology Image Set.
MICCAI (8)
(2023)
Andrea Bommert
,
Xudong Sun
,
Bernd Bischl
,
Jörg Rahnenführer
,
Michel Lang
Benchmark for filter methods for feature selection in high-dimensional classification data.
Comput. Stat. Data Anal.
143 (2020)
Rui Zhao
,
Xudong Sun
,
Volker Tresp
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning.
CoRR
(2019)
Florian Pfisterer
,
Laura Beggel
,
Xudong Sun
,
Fabian Scheipl
,
Bernd Bischl
Benchmarking time series classification - Functional data vs machine learning approaches.
CoRR
(2019)
Xudong Sun
,
Andrea Bommert
,
Florian Pfisterer
,
Jörg Rahnenführer
,
Michel Lang
,
Bernd Bischl
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions.
CoRR
(2019)
Xudong Sun
,
Andrea Bommert
,
Florian Pfisterer
,
Jörg Rahnenführer
,
Michel Lang
,
Bernd Bischl
High Dimensional Restrictive Federated Model Selection with Multi-objective Bayesian Optimization over Shifted Distributions.
IntelliSys (1)
(2019)
Xudong Sun
,
Bernd Bischl
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning.
CoRR
(2019)
Xudong Sun
,
Jiali Lin
,
Bernd Bischl
ReinBo: Machine Learning Pipeline Conditional Hierarchy Search and Configuration with Bayesian Optimization Embedded Reinforcement Learning.
PKDD/ECML Workshops (1)
(2019)
Xudong Sun
,
Jiali Lin
,
Bernd Bischl
ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning.
CoRR
(2019)
Xudong Sun
,
Yu Wang
,
Alexej Gossmann
,
Bernd Bischl
Resampling-based Assessment of Robustness to Distribution Shift for Deep Neural Networks.
CoRR
(2019)
Xudong Sun
,
Alexej Gossmann
,
Yu Wang
,
Bernd Bischl
Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift.
SSCI
(2019)
Xudong Sun
,
Bernd Bischl
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning.
SSCI
(2019)
Rui Zhao
,
Xudong Sun
,
Volker Tresp
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning.
ICML
(2019)
Nidhi Kushwaha
,
Xudong Sun
,
Bharat Singh
,
O. P. Vyas
A Lesson learned from PMF based approach for Semantic Recommender System.
J. Intell. Inf. Syst.
50 (3) (2018)
Daniel Horn
,
Melanie Dagge
,
Xudong Sun
,
Bernd Bischl
First Investigations on Noisy Model-Based Multi-objective Optimization.
EMO
(2017)
Nidhi Kushwaha
,
Xudong Sun
,
O. P. Vyas
,
Artus Krohn-Grimberghe
SemPMF: Semantic Inclusion by Probabilistic Matrix Factorization for Recommender System.
PAAMS (Special Sessions)
(2016)