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06/23/2023
Torsion Graph Neural Networks
Geometric deep learning (GDL) models have demonstrated a great potential...
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06/23/2023
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction
Geometric deep learning has demonstrated a great potential in non-Euclid...
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06/22/2023
Molecular geometric deep learning
Geometric deep learning (GDL) has demonstrated huge power and enormous p...
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06/14/2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
Existing theoretical studies on offline reinforcement learning (RL) most...
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06/14/2023
Differentially Private Wireless Federated Learning Using Orthogonal Sequences
We propose a novel privacy-preserving uplink over-the-air computation (A...
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06/09/2023
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints
This paper investigates conservative exploration in reinforcement learni...
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05/06/2023
On High-dimensional and Low-rank Tensor Bandits
Most existing studies on linear bandits focus on the one-dimensional cha...
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05/03/2023
Reward Teaching for Federated Multi-armed Bandits
Most of the existing federated multi-armed bandits (FMAB) designs are ba...
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04/21/2023
Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning
Federated Learning (FL) is a machine learning approach that enables the ...
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02/14/2023
Federated Learning via Indirect Server-Client Communications
Federated Learning (FL) is a communication-efficient and privacy-preserv...
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02/11/2023
Communication and Storage Efficient Federated Split Learning
Federated learning (FL) is a popular distributed machine learning (ML) p...
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02/04/2023
Cross-Layer Federated Learning Optimization in MIMO Networks
In this paper, the performance optimization of federated learning (FL), ...
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04/11/2022
On Top-k Selection from m-wise Partial Rankings via Borda Counting
We analyze the performance of the Borda counting algorithm in a non-para...
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02/12/2022
On Federated Learning with Energy Harvesting Clients
Catering to the proliferation of Internet of Things devices and distribu...
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01/29/2022
Random Orthogonalization for Federated Learning in Massive MIMO Systems
We propose a novel uplink communication method, coined random orthogonal...
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12/20/2021
Learning for Robust Combinatorial Optimization: Algorithm and Application
Learning to optimize (L2O) has recently emerged as a promising approach ...
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10/27/2021
(Almost) Free Incentivized Exploration from Decentralized Learning Agents
Incentivized exploration in multi-armed bandits (MAB) has witnessed incr...
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10/27/2021
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
Despite the significant interests and many progresses in decentralized m...
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10/27/2021
Federated Linear Contextual Bandits
This paper presents a novel federated linear contextual bandits model, w...
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06/25/2021
Multi-player Multi-armed Bandits with Collision-Dependent Reward Distributions
We study a new stochastic multi-player multi-armed bandits (MP-MAB) prob...
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04/14/2021
Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges
We advocate a new resource allocation framework, which we term resource ...
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02/25/2021
Federated Multi-armed Bandits with Personalization
A general framework of personalized federated multi-armed bandits (PF-MA...
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01/28/2021
Federated Multi-Armed Bandits
Federated multi-armed bandits (FMAB) is a new bandit paradigm that paral...
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01/26/2021
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups
Phase I clinical trials are designed to test the safety (non-toxicity) o...
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01/06/2021
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples
Does Federated Learning (FL) work when both uplink and downlink communic...
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12/11/2020
Underactuated Motion Planning and Control for Jumping with Wheeled-Bipedal Robots
This paper studies jumping for wheeled-bipedal robots, a motion that tak...
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12/07/2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning
Communication has been known to be one of the primary bottlenecks of fed...
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11/02/2020
On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
We study the notoriously difficult no-sensing adversarial multi-player m...
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08/20/2020
Autonomous Social Distancing in Urban Environments using a Quadruped Robot
COVID-19 pandemic has become a global challenge faced by people all over...
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06/14/2020
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification
Subgroup analysis of treatment effects plays an important role in applic...
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06/09/2020
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints
Phase I dose-finding trials are increasingly challenging as the relation...
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03/05/2020
Stochastic Linear Contextual Bandits with Diverse Contexts
In this paper, we investigate the impact of context diversity on stochas...
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02/29/2020
Decentralized Multi-player Multi-armed Bandits with No Collision Information
The decentralized stochastic multi-player multi-armed bandit (MP-MAB) pr...
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01/12/2020
Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching
This paper investigates learning-based caching in small-cell networks (S...
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01/08/2020
Contextual Constrained Learning for Dose-Finding Clinical Trials
Clinical trials in the medical domain are constrained by budgets. The nu...
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06/10/2019
A Regression Approach to Certain Information Transmission Problems
A general information transmission model, under independent and identica...
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01/23/2019
Online Learning with Diverse User Preferences
In this paper, we investigate the impact of diverse user preference on l...
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07/26/2018
Towards Optimal Power Control via Ensembling Deep Neural Networks
A deep neural network (DNN) based power control method is proposed, whic...
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05/22/2018
Cost-aware Cascading Bandits
In this paper, we propose a cost-aware cascading bandits model, a new va...
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04/11/2018
Cost-Aware Learning and Optimization for Opportunistic Spectrum Access
In this paper, we investigate cost-aware joint learning and optimization...
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02/22/2018
Regional Multi-Armed Bandits
We consider a variant of the classic multi-armed bandit problem where th...
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01/11/2018
New Results on Multilevel Diversity Coding with Secure Regeneration
The problem of multilevel diversity coding with secure regeneration is r...
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12/09/2017
Multilevel Diversity Coding with Secure Regeneration: Separate Coding Achieves the MBR Point
The problem of multilevel diversity coding with secure regeneration (MDC...
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07/18/2017