research
∙
06/20/2023
Regularized Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
This paper focuses on reinforcement learning for the regularized robust ...
share
research
∙
06/17/2023
Non-asymptotic System Identification for Linear Systems with Nonlinear Policies
This paper considers a single-trajectory system identification problem f...
research
∙
05/22/2023
Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy
Ultra-fine entity typing (UFET) is the task of inferring the semantic ty...
research
∙
05/16/2023
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models
Learning vectors that capture the meaning of concepts remains a fundamen...
research
∙
04/08/2023
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding
Optimal control is notoriously difficult for stochastic nonlinear system...
research
∙
04/07/2023
Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity
This paper studies the finite-time horizon Markov games where the agents...
research
∙
03/16/2023
Decentralized Riemannian natural gradient methods with Kronecker-product approximations
With a computationally efficient approximation of the second-order infor...
research
∙
03/10/2023
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization
We study the multi-agent Bayesian optimization (BO) problem, where multi...
research
∙
12/17/2022
Latent Variable Representation for Reinforcement Learning
Deep latent variable models have achieved significant empirical successe...
research
∙
12/02/2022
Multi-Agent Reinforcement Learning with Reward Delays
This paper considers multi-agent reinforcement learning (MARL) where the...
research
∙
11/14/2022
Learning to Optimize with Stochastic Dominance Constraints
In real-world decision-making, uncertainty is important yet difficult to...
research
∙
10/15/2022
Semantic Video Moments Retrieval at Scale: A New Task and a Baseline
Motivated by the increasing need of saving search effort by obtaining re...
research
∙
10/11/2022
The DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022
This paper is the system description of the DKU-Tencent System for the V...
research
∙
10/10/2022
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies
Gradient-based methods have been widely used for system design and optim...
research
∙
09/20/2022
Distributed Information-based Source Seeking
In this paper, we design an information-based multi-robot source seeking...
research
∙
09/20/2022
Multi-armed Bandit Learning on a Graph
The multi-armed bandit(MAB) problem is a simple yet powerful framework t...
research
∙
09/08/2022
FedDAR: Federated Domain-Aware Representation Learning
Cross-silo Federated learning (FL) has become a promising tool in machin...
research
∙
08/19/2022
Dialogue Policies for Confusion Mitigation in Situated HRI
Confusion is a mental state triggered by cognitive disequilibrium that c...
research
∙
08/16/2022
A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images
Pathologists need to combine information from differently stained pathol...
research
∙
07/13/2022
Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings
Automatic speaker verification has achieved remarkable progress in recen...
research
∙
06/06/2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence
This paper studies policy optimization algorithms for multi-agent reinfo...
research
∙
06/06/2022
Detecting Interlocutor Confusion in Situated Human-Avatar Dialogue: A Pilot Study
In order to enhance levels of engagement with conversational systems, ou...
research
∙
06/03/2022
Transferring Studies Across Embodiments: A Case Study in Confusion Detection
Human-robot studies are expensive to conduct and difficult to control, a...
research
∙
05/01/2022
A Survey of Decentralized Online Learning
Decentralized online learning (DOL) has been increasingly researched in ...
research
∙
04/08/2022
Deep Learning-Based Intra Mode Derivation for Versatile Video Coding
In intra coding, Rate Distortion Optimization (RDO) is performed to achi...
research
∙
02/04/2022
The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge
This paper describes our speaker diarization system submitted to the Mul...
research
∙
02/02/2022
On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems
Softmax policy gradient is a popular algorithm for policy optimization i...
research
∙
12/15/2021
Communication-Efficient Distributed SGD with Compressed Sensing
We consider large scale distributed optimization over a set of edge devi...
research
∙
11/24/2021
Notebook-as-a-VRE (NaaVRE): from private notebooks to a collaborative cloud virtual research environment
Virtual Research Environments (VREs) provide user-centric support in the...
research
∙
10/31/2021
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees
We study the adaptive control of an unknown linear system with a quadrat...
research
∙
10/13/2021
Simple Attention Module based Speaker Verification with Iterative noisy label detection
Recently, the attention mechanism such as squeeze-and-excitation module ...
research
∙
10/09/2021
Self-adaptive Multi-task Particle Swarm Optimization
Multi-task optimization (MTO) studies how to simultaneously solve multip...
research
∙
07/19/2021
A Benchmark for Gait Recognition under Occlusion Collected by Multi-Kinect SDAS
Human gait is one of important biometric characteristics for human ident...
research
∙
06/25/2021
Data-driven Fair Resource Allocation For Novel Emerging Epidemics: A COVID-19 Convalescent Plasma Case Study
Epidemics are a serious public health threat, and the resources for miti...
research
∙
06/21/2021
Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh
With the emerging of 360-degree image/video, augmented reality (AR) and ...
research
∙
06/01/2021
Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence
We study the performance of the gradient play algorithm for multi-agent ...
research
∙
02/16/2021
Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach
We consider a many-to-one wireless architecture for federated learning a...
research
∙
01/27/2021
Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision
With large-scale integration of renewable generation and ubiquitous dist...
research
∙
01/06/2021
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
Platelet products are both expensive and have very short shelf lives. As...
research
∙
12/04/2020
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
While the success of pre-trained language models has largely eliminated ...
research
∙
11/29/2020
On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner
Author disambiguation arises when different authors share the same name,...
research
∙
11/25/2020
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms
We consider online convex optimization with time-varying stage costs and...
research
∙
11/19/2020
Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems
We study a class of cooperative multi-agent optimization problems, where...
research
∙
11/03/2020
Federated LQR: Learning through Sharing
In many multi-agent reinforcement learning applications such as flocking...
research
∙
10/28/2020
Replay and Synthetic Speech Detection with Res2net Architecture
Existing approaches for replay and synthetic speech detection still lack...
research
∙
10/21/2020
ASCII: ASsisted Classification with Ignorance Interchange
The rapid development in data collecting devices and computation platfor...
research
∙
10/11/2020
Online Learning and Distributed Control for Residential Demand Response
This paper studies the automated control method for regulating air condi...
research
∙
10/10/2020
Online Optimal Control with Affine Constraints
This paper considers online optimal control with affine constraints on t...
research
∙
09/07/2020
Stem-leaf segmentation and phenotypic trait extraction of maize shoots from three-dimensional point cloud
Nowadays, there are many approaches to acquire three-dimensional (3D) po...
research
∙
08/17/2020