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06/14/2023
Off-policy Evaluation in Doubly Inhomogeneous Environments
This work aims to study off-policy evaluation (OPE) under scenarios wher...
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01/12/2023
NDNSD: Service Publishing and Discovery in NDN
Service discovery is a crucial component in today's massively distribute...
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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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12/23/2022
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information
Motivated by the human-machine interaction such as training chatbots for...
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12/08/2022
Denoising Self-attentive Sequential Recommendation
Transformer-based sequential recommenders are very powerful for capturin...
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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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04/02/2022
Do learned representations respect causal relationships?
Data often has many semantic attributes that are causally associated wit...
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02/07/2022
A nonparametric doubly robust test for a continuous treatment effect
The vast majority of literature on evaluating the significance of a trea...
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01/24/2022
Investigation of Deep Neural Network Acoustic Modelling Approaches for Low Resource Accented Mandarin Speech Recognition
The Mandarin Chinese language is known to be strongly influenced by a ri...
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01/24/2022
Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition
Dysarthric speech recognition is a challenging task due to acoustic vari...
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01/13/2022
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection
Today's cyber-world is vastly multivariate. Metrics collected at extreme...
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11/10/2021
Role of Variable Renewable Energy Penetration on Electricity Price and its Volatility Across Independent System Operators in the United States
The U.S. electrical grid has undergone substantial transformation with i...
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09/12/2021
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization
ℓ_1-penalized quantile regression is widely used for analyzing high-dime...
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09/12/2021
Adversarial Representation Learning With Closed-Form Solvers
Adversarial representation learning aims to learn data representations f...
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08/15/2021
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection
Modeling inter-dependencies between time-series is the key to achieve hi...
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05/10/2021
Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension
This paper develops new tools to quantify uncertainty in optimal decisio...
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04/12/2021
Generalization bounds via distillation
This paper theoretically investigates the following empirical phenomenon...
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02/02/2021
Efficient Compressed Sensing Based Image Coding by Using Gray Transformation
In recent years, compressed sensing (CS) based image coding has become a...
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01/19/2021
Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects
The electric power grid is a critical societal resource connecting multi...
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12/14/2020
Bayesian Learning for Deep Neural Network Adaptation
A key task for speech recognition systems is to reduce the mismatch betw...
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11/04/2020
Data Augmentation for End-to-end Code-switching Speech Recognition
Training a code-switching end-to-end automatic speech recognition (ASR) ...
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11/25/2019
Resampling-based Confidence Intervals for Model-free Robust Inference on Optimal Treatment Regimes
Recently, there has been growing interest in estimating optimal treatmen...
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08/10/2019
A Survey of Tuning Parameter Selection for High-dimensional Regression
Penalized (or regularized) regression, as represented by Lasso and its v...
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07/20/2018
Wild Residual Bootstrap Inference for Penalized Quantile Regression with Heteroscedastic Errors
We consider a heteroscedastic regression model in which some of the regr...
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04/17/2018
PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities
Data of different modalities generally convey complimentary but heteroge...
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03/07/2016
