Maryam Tavakol

According to our database, Maryam Tavakol authored at least 17 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Model-Based Meta-reinforcement Learning for Hyperparameter Optimization.

Jeroen Albrechts, Hugo M. Martin, Maryam Tavakol

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

2023

FastDTI: Drug-Target Interaction Prediction using Multimodality and Transformers.

Mathijs Boezer, Maryam Tavakol, Zahra Sajadi

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

Toward Robust Uncertainty Estimation with Random Activation Functions.

Yana Stoyanova, Soroush Ghandi, Maryam Tavakol

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Survey on Fair Reinforcement Learning: Theory and Practice.

Pratik Gajane, Akrati Saxena, Maryam Tavakol, George Fletcher, Mykola Pechenizkiy

CoRR, 2022

MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation.

Huiyao Wu, Maryam Tavakol

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

2021

An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting.

Amal Saadallah, Maryam Tavakol, Katharina Morik

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Fair Classification with Counterfactual Learning.

Maryam Tavakol

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Distantly Supervised Question Parsing.

Hamid Zafar, Maryam Tavakol, Jens Lehmann

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Contextual Models for Sequential Recommendation.

Maryam Tavakol

PhD thesis, 2019

MDP-based Shallow Parsing in Distantly Supervised QA Systems.

Hamid Zafar, Maryam Tavakol, Jens Lehmann

CoRR, 2019

HyperUCB: Hyperparameter Optimization Using Contextual Bandits.

Maryam Tavakol, Sebastian Mair, Katharina Morik

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Personalized Transaction Kernels for Recommendation Using MCTS.

Maryam Tavakol, Tobias Joppen, Ulf Brefeld, Johannes Fürnkranz

Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019

2018

MDP-based Itinerary Recommendation using Geo-Tagged Social Media.

Radhika Gaonkar, Maryam Tavakol, Ulf Brefeld

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

2017

A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations.

Maryam Tavakol, Ulf Brefeld

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016

Feature Extraction and Aggregation for Predicting the EURO 2016.

Maryam Tavakol, Hamid Zafartavanaelmi, Ulf Brefeld

Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016

2014

Factored MDPs for detecting topics of user sessions.

Maryam Tavakol, Ulf Brefeld

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2012

A Distributed Q-Learning Approach for Variable Attention to Multiple Critics.

Maryam Tavakol, Majid Nili Ahmadabadi, Maryam S. Mirian, Masoud Asadpour

Proceedings of the Neural Information Processing - 19th International Conference, 2012