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04/10/2023
COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations
Query optimization is a pivotal part of every database management system...
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06/06/2020
Learning Mixtures of Plackett-Luce Models with Features from Top-l Orders
Plackett-Luce model (PL) is one of the most popular models for preferenc...
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05/17/2020
Dual Learning: Theoretical Study and an Algorithmic Extension
Dual learning has been successfully applied in many machine learning app...
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10/25/2019
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders
Mixtures of ranking models have been widely used for heterogeneous prefe...
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01/16/2019
Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking
STV and ranked pairs (RP) are two well-studied voting rules for group de...
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06/04/2018
Composite Marginal Likelihood Methods for Random Utility Models
We propose a novel and flexible rank-breaking-then-composite-marginal-li...
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05/17/2018
Practical Algorithms for STV and Ranked Pairs with Parallel Universes Tiebreaking
STV and ranked pairs (RP) are two well-studied voting rules for group de...
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05/14/2018
