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08/20/2023
A Survey on Fairness in Large Language Models
Large language models (LLMs) have shown powerful performance and develop...
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08/19/2023
Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation
Most self-supervised 6D object pose estimation methods can only work wit...
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07/27/2023
LinkDID: A Privacy-Preserving, Sybil-Resistant and Key-Recoverable Decentralized Identity Scheme
Decentralized identity mechanisms endeavor to endow users with complete ...
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06/23/2023
Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
Most recent 6D object pose methods use 2D optical flow to refine their r...
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05/19/2023
V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection
Machine learning (ML) has revolutionized transportation systems, enablin...
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04/04/2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems
Bird's eye view (BEV) perception is becoming increasingly important in t...
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04/02/2023
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring
With the growing needs of online A/B testing to support the innovation i...
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03/22/2023
Rigidity-Aware Detection for 6D Object Pose Estimation
Most recent 6D object pose estimation methods first use object detection...
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03/14/2023
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception
Modern perception systems of autonomous vehicles are known to be sensiti...
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02/03/2023
Multiplier Bootstrap-based Exploration
Despite the great interest in the bandit problem, designing efficient al...
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01/31/2023
A Reinforcement Learning Framework for Dynamic Mediation Analysis
Mediation analysis learns the causal effect transmitted via mediator var...
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01/29/2023
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs
Heterogeneity and comorbidity are two interwoven challenges associated w...
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01/03/2023
Deep Spectral Q-learning with Application to Mobile Health
Dynamic treatment regimes assign personalized treatments to patients seq...
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12/30/2022
Heterogeneous Synthetic Learner for Panel Data
In the new era of personalization, learning the heterogeneous treatment ...
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12/29/2022
An Instrumental Variable Approach to Confounded Off-Policy Evaluation
Off-policy evaluation (OPE) is a method for estimating the return of a t...
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12/29/2022
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning
Off-Policy evaluation (OPE) is concerned with evaluating a new target po...
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12/25/2022
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies
Latent factor model estimation typically relies on either using domain k...
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12/11/2022
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals
Federated learning enables cooperative training among massively distribu...
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09/23/2022
Sure Screening for Transelliptical Graphical Models
We propose a sure screening approach for recovering the structure of a t...
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07/27/2022
Partial Selfish Mining for More Profits
Mining attacks aim to gain an unfair share of extra rewards in the block...
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06/17/2022
Edge-Aided Sensor Data Sharing in Vehicular Communication Networks
Sensor data sharing in vehicular networks can significantly improve the ...
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06/13/2022
Inference for change-plane regression
We establish the asymptotic behavior of change-plane estimators. Two typ...
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04/22/2022
Locally Aggregated Feature Attribution on Natural Language Model Understanding
With the growing popularity of deep-learning models, model understanding...
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04/08/2022
Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes
In many important applications of precision medicine, the outcome of int...
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04/01/2022
Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS
In this paper, we introduce a federated learning framework coping with H...
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03/12/2022
Distributed Community Detection in Large Networks
Community detection for large networks is a challenging task due to the ...
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03/04/2022
Adaptive Semi-Supervised Inference for Optimal Treatment Decisions with Electronic Medical Record Data
A treatment regime is a rule that assigns a treatment to patients based ...
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02/26/2022
Safe Exploration for Efficient Policy Evaluation and Comparison
High-quality data plays a central role in ensuring the accuracy of polic...
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02/26/2022
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework
Online learning in large-scale structured bandits is known to be challen...
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02/26/2022
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons
We consider reinforcement learning (RL) methods in offline domains witho...
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02/25/2022
Exploratory Hidden Markov Factor Models for Longitudinal Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae
Adverse posttraumatic neuropsychiatric sequelae (APNS) are common among ...
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02/25/2022
On Learning and Testing of Counterfactual Fairness through Data Preprocessing
Machine learning has become more important in real-life decision-making ...
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02/22/2022
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process
This paper is concerned with constructing a confidence interval for a ta...
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02/21/2022
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets
The two-sided markets such as ride-sharing companies often involve a gro...
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02/21/2022
Rule Mining over Knowledge Graphs via Reinforcement Learning
Knowledge graphs (KGs) are an important source repository for a wide ran...
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02/12/2022
OctAttention: Octree-based Large-scale Contexts Model for Point Cloud Compression
In point cloud compression, sufficient contexts are significant for mode...
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01/31/2022
Reinforcement Learning with Heterogeneous Data: Estimation and Inference
Reinforcement Learning (RL) has the promise of providing data-driven sup...
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01/20/2022
Statistical Learning for Individualized Asset Allocation
We establish a high-dimensional statistical learning framework for indiv...
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12/29/2021
HPRN: Holistic Prior-embedded Relation Network for Spectral Super-Resolution
Spectral super-resolution (SSR) refers to the hyperspectral image (HSI) ...
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11/27/2021
A Review on Graph Neural Network Methods in Financial Applications
Keeping the individual features and the complicated relations, graph dat...
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11/19/2021
Flexible Inference of Optimal Individualized Treatment Strategy in Covariate Adjusted Randomization with Multiple Covariates
To maximize clinical benefit, clinicians routinely tailor treatment to t...
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11/17/2021
Jump Interval-Learning for Individualized Decision Making
An individualized decision rule (IDR) is a decision function that assign...
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11/06/2021
A Probit Tensor Factorization Model For Relational Learning
With the proliferation of knowledge graphs, modeling data with complex m...
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11/06/2021
An Online Sequential Test for Qualitative Treatment Effects
Tech companies (e.g., Google or Facebook) often use randomized online ex...
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10/29/2021
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
Evaluating the performance of an ongoing policy plays a vital role in ma...
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09/02/2021
Online Testing of Subgroup Treatment Effects Based on Value Difference
Online A/B testing plays a critical role in the high-tech industry to gu...
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08/13/2021
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
How to explore efficiently is a central problem in multi-armed bandits. ...
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07/10/2021
On Estimating Optimal Regime for Treatment Initiation Time Based on Restricted Mean Residual Lifetime
When to initiate treatment on patients is an important problem in many m...
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06/18/2021
Label Mask for Multi-Label Text Classification
One of the key problems in multi-label text classification is how to tak...
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05/30/2021