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Ga Wu
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Year
Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming.
B Say, G Wu, YQ Zhou, S Sanner
IJCAI, 750-756, 2017
672017
Deep Language-based Critiquing for Recommender Systems
G Wu, K Luo, S Sanner, H Soh
In Proceedings of the 13th ACM Conference of Recommender Systems (RecSys-19 …, 2019
532019
Two-stage Model for Automatic Playlist Continuation at Scale
M Volkovs, H Rai, Z Cheng, G Wu, Y Lu, S Sanner
RecSys-2018: ACM Conference on Recommender Systems, 2018
482018
Latent Linear Critiquing for Conversational Recommender Systems
K Luo, S Sanner, G Wu, H Li, H Yang
In Proceedings of the 29th International Conference on the World Wide Web …, 2020
472020
Noise Contrastive Estimation for One-Class Collaborative Filtering
G Wu, M Volkovs, CL Soon, S Sanner, H Rai
In Proceedings of the 42nd International ACM SIGIR Conference on Research …, 2019
432019
Deep Critiquing for VAE-based Recommender Systems
K Luo, H Yang, G Wu, S Sanner
In Proceedings of the 43nd International ACM SIGIR Conference on Research …, 2020
412020
Scalable planning with Tensorflow for hybrid nonlinear domains
G Wu, B Say, S Sanner
NIPS, Advances in Neural Information Processing Systems, 6273-6283, 2017
382017
PUMA: Performance Unchanged Model Augmentation for Training Data Removal
G Wu, M Hashemi, C Srinivasa
In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI …, 2022
342022
Scalable Planning with Deep Neural Network Learned Transition Models
G Wu, B Say, S Sanner
Journal of Artificial Intelligence Research (JAIR) 68, 571-606, 2020
292020
A ranking optimization approach to latent linear critiquing for conversational recommender systems
H Li, S Sanner, K Luo, G Wu
Proceedings of the 14th ACM conference on recommender systems, 13-22, 2020
232020
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models
Y Sui, G Wu, S Sanner
Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS-21), 2021
122021
Arbitrary conditional inference in variational autoencoders via fast prior network training
G Wu, J Domke, S Sanner
Machine Learning 111 (7), 2537-2559, 2022
11*2022
One-Class Collaborative Filtering with the Queryable Variational Autoencoder
G Wu, MR Bouadjenek, S Sanner
In Proceedings of the 42nd International ACM SIGIR Conference on Research …, 2019
102019
A user-centric analysis of social media for stock market prediction
MR Bouadjenek, S Sanner, G Wu
ACM Transactions on the Web 17 (2), 1-22, 2023
72023
Bayesian model averaging naive bayes (bma-nb): Averaging over an exponential number of feature models in linear time
G Wu, S Sanner, R Oliveira
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
72015
Bayesian Preference Elicitation with Keyphase-Item Coembeddings for Interactive Recommendation
H Yang, S Sanner, G Wu, JP Zhou
29th Conference on User Modeling, Adaptation and Personalization (UMAP), 2021
62021
System and method for adversarial vulnerability testing of machine learning models
GMA Castiglione, W Ding, SH AMROABADI, G Wu, CC Srinivasa
US Patent App. 17/750,205, 2022
32022
Distributional Contrastive Embedding for Clarification-based Conversational Critiquing
T Shen, Z Mai, G Wu, S Sanner
In Proceedings of the 31st International Conference on the World Wide Web …, 2022
32022
Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering
JP Zhou, G Wu, Z Mai, S Sanner
arXiv preprint arXiv:2008.01246, 2020
32020
Self-supervised Representation Learning From Random Data Projectors
Y Sui, T Wu, J Cresswell, G Wu, G Stein, X Huang, X Zhang, M Volkovs
12th International Conference on Learning Representations (ICLR 2024), 2024
22024
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