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Haque Ishfaq
Haque Ishfaq
PhD Student, MILA, McGill University
Bestätigte E-Mail-Adresse bei mail.mcgill.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Randomized Exploration for Reinforcement Learning with General Value Function Approximation
H Ishfaq, Q Cui, V Nguyen, A Ayoub, Z Yang, Z Wang, D Precup, LF Yang
International Conference on Machine Learning (ICML) 2021, 2021
332021
TVAE: Triplet-based variational autoencoder using metric learning
H Ishfaq, A Hoogi, D Rubin
arXiv preprint arXiv:1802.04403, 2018
30*2018
Heuristics for interpretable knowledge graph contextualization
K Fadnis, K Talamadupula, P Kapanipathi, H Ishfaq, S Roukos, A Fokoue
arXiv preprint arXiv:1911.02085, 2019
92019
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
H Ishfaq, Q Lan, P Xu, AR Mahmood, D Precup, A Anandkumar, ...
International Conference on Learning Representations (ICLR) 2024, 2023
62023
Path-Based Contextualization of Knowledge Graphs for Textual Entailment
K Fadnis, K Talamadupula, P Kapanipathi, H Ishfaq, S Roukos, A Fokoue
arXiv preprint arXiv:1911.02085, 2019
12019
Question Answering on SQuAD
C Yang, H Ishfaq
Department of Statistics, 1-7, 2018
12018
Offline Multitask Representation Learning for Reinforcement Learning
H Ishfaq, T Nguyen-Tang, S Feng, R Arora, M Wang, M Yin, D Precup
arXiv preprint arXiv:2403.11574, 2024
2024
Smarter initializations in multi-modal neural networks to predict transcription factor binding
A Balakrishnan, T Chaturapruek, F Fan, H Ishfaq, L Roitman
Technical Report, Stanford University, 2016
2016
Segmenting Triaxial Accelerometer Data via Data Programming
H Ishfaq
Technical report, Stanford University, 2016
2016
Randomized Least Squares Policy Optimization
H Ishfaq, Z Yang, A Lupu, V Nguyen, L Liu, R Islam, Z Wang, D Precup
ICML 2021 Workshop on Reinforcement Learning Theory, 0
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