Hyper-parameter Optimization for Latent Spaces

[1]  Matthias Carnein,et al.  Towards Automated Configuration of Stream Clustering Algorithms , 2019, PKDD/ECML Workshops.

[2]  Tat-Seng Chua,et al.  Neural Collaborative Filtering , 2017, WWW.

[3]  Frank Hutter,et al.  Hyperparameter Optimization , 2019, Automated Machine Learning.

[4]  Benedita Malheiro,et al.  Hyperparameter self-tuning for data streams , 2021, Inf. Fusion.

[5]  Chong Wang,et al.  Collaborative topic modeling for recommending scientific articles , 2011, KDD.

[6]  Lars Kotthoff,et al.  Automated Machine Learning: Methods, Systems, Challenges , 2019, The Springer Series on Challenges in Machine Learning.

[7]  Nicola Barbieri,et al.  An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering , 2011, ECML/PKDD.

[8]  João Gama,et al.  Self Hyper-Parameter Tuning for Data Streams , 2018, DS.

[9]  Walid Krichene,et al.  Neural Collaborative Filtering vs. Matrix Factorization Revisited , 2020, RecSys.

[10]  Kevin Leyton-Brown,et al.  Sequential Model-Based Optimization for General Algorithm Configuration , 2011, LION.

[11]  J. Gama,et al.  Self Hyper-parameter Tuning for Stream Classification Algorithms , 2020, IoT Streams/ITEM@PKDD/ECML.

[12]  Lars Kotthoff,et al.  Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA , 2017, J. Mach. Learn. Res..

[13]  Lina Yao,et al.  Deep Learning Based Recommender System , 2017, ACM Comput. Surv..

[14]  Geoff Holmes,et al.  Algorithm Selection on Data Streams , 2014, Discovery Science.

[15]  Aaron Klein,et al.  Auto-sklearn: Efficient and Robust Automated Machine Learning , 2019, Automated Machine Learning.

[16]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[17]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[18]  Geoff Holmes,et al.  The online performance estimation framework: heterogeneous ensemble learning for data streams , 2017, Machine Learning.

[19]  Thomas Hofmann,et al.  Latent semantic models for collaborative filtering , 2004, TOIS.

[20]  F. Archetti,et al.  Hyperparameter optimization for recommender systems through Bayesian optimization , 2020, Computational Management Science.

[21]  João Gama,et al.  On evaluating stream learning algorithms , 2012, Machine Learning.

[22]  João Gama,et al.  Self Hyper-parameter Tuning for Stream Recommendation Algorithms , 2018, DMLE/IOTSTREAMING@PKDD/ECML.

[23]  George Karypis,et al.  FISM: factored item similarity models for top-N recommender systems , 2013, KDD.

[24]  Matthias Carnein,et al.  confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms , 2020, LION.