Towards Generalized Inverse Reinforcement Learning.
CoRR, 2024
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Scalable and Effective Implicit Graph Neural Networks on Large Graphs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments.
CoRR, 2023
AdaSelection: Accelerating Deep Learning Training through Data Subsampling.
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CoRR, 2023
Federated Multi-Objective Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Querywise Fair Learning to Rank through Multi-Objective Optimization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Multi-Label Learning to Rank through Multi-Objective Optimization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Multi-Label Learning to Rank through Multi-Objective Optimization.
CoRR, 2022
Personalized Complementary Product Recommendation.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Multi-task GNN for Substitute Identification.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity.
Proceedings of the International Conference on Machine Learning, 2022
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences.
Proceedings of the Tenth International Conference on Learning Representations, 2022
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning.
CoRR, 2021
Incentivized Bandit Learning with Self-Reinforcing User Preferences.
Proceedings of the 38th International Conference on Machine Learning, 2021
Wasserstein Distributionally Robust Inverse Multiobjective Optimization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Inverse Multiobjective Optimization Through Online Learning.
CoRR, 2020
Learning Time Varying Risk Preferences from Investment Portfolios using Inverse Optimization with Applications on Mutual Funds.
CoRR, 2020
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms.
Proceedings of the 37th International Conference on Machine Learning, 2020
Inferring Parameters Through Inverse Multiobjective Optimization.
CoRR, 2018
Generalized Inverse Optimization through Online Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018