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06/25/2023
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer
Sequential recommendation requires understanding the dynamic patterns of...
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06/19/2023
AdaSelection: Accelerating Deep Learning Training through Data Subsampling
In this paper, we introduce AdaSelection, an adaptive sub-sampling metho...
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07/07/2022
Multi-Label Learning to Rank through Multi-Objective Optimization
Learning to Rank (LTR) technique is ubiquitous in the Information Retrie...
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05/19/2021
Incentivized Bandit Learning with Self-Reinforcing User Preferences
In this paper, we investigate a new multi-armed bandit (MAB) online lear...
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04/27/2021
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
Deep learning models in large-scale machine learning systems are often c...
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10/12/2020
Inverse Multiobjective Optimization Through Online Learning
We study the problem of learning the objective functions or constraints ...
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10/04/2020
Learning Time Varying Risk Preferences from Investment Portfolios using Inverse Optimization with Applications on Mutual Funds
The fundamental principle in Modern Portfolio Theory (MPT) is based on t...
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09/30/2020
Wasserstein Distributionally Robust Inverse Multiobjective Optimization
Inverse multiobjective optimization provides a general framework for the...
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10/03/2018
Generalized Inverse Optimization through Online Learning
Inverse optimization is a powerful paradigm for learning preferences and...
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08/02/2018