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09/15/2023
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits
Off-policy evaluation and learning are concerned with assessing a given ...
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09/01/2023
Convergence Analysis of the Best Response Algorithm for Time-Varying Games
This paper studies a class of strongly monotone games involving non-coop...
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09/09/2022
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health
In this paper, we consider a risk-averse multi-armed bandit (MAB) proble...
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09/06/2022
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games
We consider risk-averse learning in repeated unknown games where the goa...
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04/02/2022
Constrained Sequence-to-Tree Generation for Hierarchical Text Classification
Hierarchical Text Classification (HTC) is a challenging task where a doc...
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03/16/2022
Risk-Averse No-Regret Learning in Online Convex Games
We consider an online stochastic game with risk-averse agents whose goal...
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12/22/2021
Hybrid Curriculum Learning for Emotion Recognition in Conversation
Emotion recognition in conversation (ERC) aims to detect the emotion lab...
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09/16/2021
An Open Problem on Sparse Representations in Unions of Bases
We consider sparse representations of signals from redundant dictionarie...
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06/07/2021
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning
In this paper, we consider a transfer Reinforcement Learning (RL) proble...
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05/31/2021
STEP: Spatial-Temporal Network Security Event Prediction
Network security events prediction helps network operators to take respo...
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03/08/2021
Packet-Level Adversarial Network Traffic Crafting using Sequence Generative Adversarial Networks
The surge in the internet of things (IoT) devices seriously threatens th...
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01/04/2021
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis
Aspect based sentiment analysis (ABSA) involves three fundamental subtas...
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09/25/2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
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08/19/2020
TNT: Target-driveN Trajectory Prediction
Predicting the future behavior of moving agents is essential for real wo...
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07/29/2020
Investigation of Phase Distortion on Perceived Speech Quality for Hearing-impaired Listeners
Phase serves as a critical component of speech that influences the quali...
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07/29/2020
On Loss Functions and Recurrency Training for GAN-based Speech Enhancement Systems
Recent work has shown that it is feasible to use generative adversarial ...
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05/08/2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Behavior prediction in dynamic, multi-agent systems is an important prob...
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04/02/2019
Coordinating Large-Scale Robot Networks with Motion and Communication Uncertainties for Logistics Applications
In this paper, we focus on the problem of task allocation, cooperative p...
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03/05/2018
Burgeoning Data Repository Systems, Characteristics and Development Strategies: Insights of Natural Resources and Environmental Scientists
Nowadays, we have the emergence and abundance of many different data rep...
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03/05/2018
Data Sustainability and Reuse Pathways of Natural Resources and Environmental Scientists
This paper presents a multifarious examination of natural resources and ...
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07/11/2014