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09/09/2023
Leveraging Large Language Models for Exploiting ASR Uncertainty
While large language models excel in a variety of natural language proce...
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06/24/2023
Intensity-free Convolutional Temporal Point Process: Incorporating Local and Global Event Contexts
Event prediction in the continuous-time domain is a crucial but rather d...
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06/13/2023
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
Off-policy Learning to Rank (LTR) aims to optimize a ranker from data co...
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04/25/2023
Test-Time Adaptation with Perturbation Consistency Learning
Currently, pre-trained language models (PLMs) do not cope well with the ...
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03/31/2023
A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry
Background: Alzheimer's Disease (AD) is the most common type of age-rela...
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03/04/2023
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions
Many patients with chronic diseases resort to multiple medications to re...
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11/21/2022
Data-Driven Offline Decision-Making via Invariant Representation Learning
The goal in offline data-driven decision-making is synthesize decisions ...
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07/15/2022
Greykite: Deploying Flexible Forecasting at Scale at LinkedIn
Forecasts help businesses allocate resources and achieve objectives. At ...
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04/18/2022
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems
Goal-oriented dialogue systems face a trade-off between fluent language ...
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10/20/2021
Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy
Biomarker-assisted diagnosis and intervention in Alzheimer's disease (AD...
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07/09/2021
Online Adaptation to Label Distribution Shift
Machine learning models often encounter distribution shifts when deploye...
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07/02/2021
R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling
Human language understanding operates at multiple levels of granularity ...
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06/03/2021
Optimizing Rankings for Recommendation in Matching Markets
Based on the success of recommender systems in e-commerce, there is grow...
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01/14/2021
Game-based Pricing and Task Offloading in Mobile Edge Computing Enabled Edge-Cloud Systems
As a momentous enabling of the Internet of things (IoT), mobile edge com...
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06/16/2020
Off-policy Bandits with Deficient Support
Learning effective contextual-bandit policies from past actions of a dep...
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04/18/2020
Accurate Tumor Tissue Region Detection with Accelerated Deep Convolutional Neural Networks
Manual annotation of pathology slides for cancer diagnosis is laborious ...
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02/18/2020
Adaptive Estimator Selection for Off-Policy Evaluation
We develop a generic data-driven method for estimator selection in off-p...
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07/22/2019
Doubly robust off-policy evaluation with shrinkage
We design a new family of estimators for off-policy evaluation in contex...
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07/22/2019
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
This paper explores two classes of model adaptation methods for Web sear...
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11/06/2018
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning
The ability to perform offline A/B-testing and off-policy learning using...
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09/03/2018
Network estimation via graphon with node features
Estimating the probabilities of linkages in a network has gained increas...
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05/06/2018
Modeling Multidimensional User Relevance in IR using Vector Spaces
It has been shown that relevance judgment of documents is influenced by ...
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03/03/2017