Search Results for author:
Found 6 papers, 2 papers with code
Explain to me like I am five -- Sentence Simplification Using Transformers
Sentence simplification aims at making the structure of text easier to read and understand while maintaining its original meaning.
Using LSTM for the Prediction of Disruption in ADITYA Tokamak
Major disruptions in tokamak pose a serious threat to the vessel and its surrounding pieces of equipment.
Intervention Harvesting for Context-Dependent Examination-Bias Estimation
To overcome this limitation, we propose a Contextual Position-Based Model (CPBM) where the examination bias may also depend on a context vector describing the query and the user.
Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank
Presentation bias is one of the key challenges when learning from implicit feedback in search engines, as it confounds the relevance signal with uninformative signals due to position in the ranking, saliency, and other presentation factors.
A General Framework for Counterfactual Learning-to-Rank
Specifically, we derive a relaxation for propensity-weighted rank-based metrics which is subdifferentiable and thus suitable for gradient-based optimization.
Effective Evaluation using Logged Bandit Feedback from Multiple Loggers
In this paper, we address the question of how to estimate the performance of a new target policy when we have log data from multiple historic policies.
