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2020 – today
- 2023
[c13]Yana Stoyanova, Soroush Ghandi, Maryam Tavakol:
Toward Robust Uncertainty Estimation with Random Activation Functions. AAAI 2023: 15152-15160- [c12]Mathijs Boezer, Maryam Tavakol, Zahra Sajadi:
FastDTI: Drug-Target Interaction Prediction using Multimodality and Transformers. NLDL 2023 - [i3]Yana Stoyanova, Soroush Ghandi, Maryam Tavakol:
Toward Robust Uncertainty Estimation with Random Activation Functions. CoRR abs/2302.14552 (2023) - 2022
- [c11]Huiyao Wu, Maryam Tavakol:
MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation. IDA 2022: 365-377 - [i2]Pratik Gajane
, Akrati Saxena, Maryam Tavakol, George Fletcher, Mykola Pechenizkiy:
Survey on Fair Reinforcement Learning: Theory and Practice. CoRR abs/2205.10032 (2022) - 2021
- [c10]Amal Saadallah, Maryam Tavakol, Katharina Morik:
An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting. ICDE 2021: 2255-2260 - 2020
- [c9]Hamid Zafar, Maryam Tavakol, Jens Lehmann:
Distantly Supervised Question Parsing. ECAI 2020: 2290-2297 - [c8]Maryam Tavakol:
Fair Classification with Counterfactual Learning. SIGIR 2020: 2073-2076
2010 – 2019
- 2019
- [b1]Maryam Tavakol:
Contextual Models for Sequential Recommendation. Darmstadt University of Technology, Germany, 2019 - [c7]Maryam Tavakol, Tobias Joppen, Ulf Brefeld, Johannes Fürnkranz:
Personalized Transaction Kernels for Recommendation Using MCTS. KI 2019: 338-352 - [c6]Maryam Tavakol, Sebastian Mair, Katharina Morik:
HyperUCB: Hyperparameter Optimization Using Contextual Bandits. PKDD/ECML Workshops (1) 2019: 44-50 - [i1]Hamid Zafar, Maryam Tavakol, Jens Lehmann:
MDP-based Shallow Parsing in Distantly Supervised QA Systems. CoRR abs/1909.12566 (2019) - 2018
- [c5]Radhika Gaonkar, Maryam Tavakol, Ulf Brefeld:
MDP-based Itinerary Recommendation using Geo-Tagged Social Media. IDA 2018: 111-123 - 2017
- [c4]Maryam Tavakol, Ulf Brefeld:
A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations. ECML/PKDD (2) 2017: 269-284 - 2016
- [c3]Maryam Tavakol, Hamid Zafartavanaelmi, Ulf Brefeld:
Feature Extraction and Aggregation for Predicting the EURO 2016. MLSA@PKDD/ECML 2016 - 2014
- [c2]Maryam Tavakol, Ulf Brefeld:
Factored MDPs for detecting topics of user sessions. RecSys 2014: 33-40 - 2012
- [c1]Maryam Tavakol, Majid Nili Ahmadabadi, Maryam S. Mirian, Masoud Asadpour:
A Distributed Q-Learning Approach for Variable Attention to Multiple Critics. ICONIP (3) 2012: 244-251
Coauthor Index
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