Data Sharing in the Metaverse With Key Abuse Resistance Based on Decentralized CP-ABE.
IEEE Trans. Computers, March, 2025
Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases.
CoRR, January, 2025
Learning to Bid in Non-Stationary Repeated First-Price Auctions.
CoRR, January, 2025
MMBERT: a unified framework for biomedical named entity recognition.
Medical Biol. Eng. Comput., January, 2024
Learning motif-based graphs for drug-drug interaction prediction via local-global self-attention.
Nat. Mac. Intell., 2024
Routing and Staffing in Customer Service Chat Systems with Generally Distributed Service and Patience Times.
Manuf. Serv. Oper. Manag., 2024
On-Demand Ride-Matching in a Spatial Model with Abandonment and Cancellation.
Oper. Res., 2024
The Generalized <i>c</i>/<i>μ</i> Rule for Queues with Heterogeneous Server Pools.
Oper. Res., 2024
Technical Note - Asymptotically Optimal Control of Omnichannel Service Systems with Pick-up Guarantees.
Oper. Res., 2024
Minimax Optimality in Contextual Dynamic Pricing with General Valuation Models.
CoRR, 2024
Single-Trajectory Distributionally Robust Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Blockchain Operations in the Presence of Security Concerns.
Manuf. Serv. Oper. Manag., May, 2023
Stochastic Graph Bandit Learning with Side-Observations.
CoRR, 2023
Provably Efficient Learning in Partially Observable Contextual Bandit.
CoRR, 2023
Single-Trajectory Distributionally Robust Reinforcement Learning.
CoRR, 2023
Debiasing Recommendation by Learning Identifiable Latent Confounders.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Achieving Near-optimal Regrets in Confounded Contextual Bandits.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Optimal Contextual Bandits with Knapsacks under Realizibility via Regression Oracles.
CoRR, 2022
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation.
CoRR, 2022
Dual Instrumental Method for Confounded Kernelized Bandits.
CoRR, 2022
On Private Online Convex Optimization: Optimal Algorithms in 𝓁<sub>p</sub>-Geometry and High Dimensional Contextual Bandits.
CoRR, 2022
A Reduction from Linear Contextual Bandit Lower Bounds to Estimation Lower Bounds.
Proceedings of the International Conference on Machine Learning, 2022
Private Streaming SCO in ℓ<sub>p</sub> geometry with Applications in High Dimensional Online Decision Making.
Proceedings of the International Conference on Machine Learning, 2022
Improving Blockchain Consistency by Assigning Weights to Random Blocks.
CoRR, 2021
Generalized Linear Bandits with Local Differential Privacy.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Dynamic Scheduling of Multiclass Many-Server Queues with Abandonment: The Generalized <i>cμ</i>/<i>h</i> Rule.
Oper. Res., 2020
Instantaneous Control of Brownian Motion with a Positive Lead Time.
Math. Oper. Res., 2019
Virtual allocation policies for many-server queues with abandonment.
Math. Methods Oper. Res., 2019
Consensus Mechanism Design based on Structured Directed Acyclic Graphs.
CoRR, 2019
Management of a Shared-Spectrum Network in Wireless Communications.
Oper. Res., 2018
Refined Models for Efficiency-Driven Queues with Applications to Delay Announcements and Staffing.
Oper. Res., 2017
A Unified Approach to Diffusion Analysis of Queues with General Patience-Time Distributions.
Math. Oper. Res., 2016
Convergence to equilibrium states for fluid models of many-server queues with abandonment.
Oper. Res. Lett., 2014
Routing and Staffing in Customer Service Chat Systems with Impatient Customers.
Oper. Res., 2014
Separation of timescales in a two-layered network.
CoRR, 2014
Approximations and Optimal Control for State-dependent Limited Processor Sharing Queues.
CoRR, 2014
Scaling and modeling of call center arrivals.
Proceedings of the 2014 Winter Simulation Conference, 2014
Fluid models of many-server queues with abandonment.
Queueing Syst. Theory Appl., 2013
Staffing and Control of Instant Messaging Contact Centers.
Oper. Res., 2013
Separation of timescales in a two-layered network.
Proceedings of the 24th International Teletraffic Congress, 2012
Law of Large Number Limits of Limited Processor-Sharing Queues.
Math. Oper. Res., 2009
Steady state approximations of limited processor sharing queues in heavy traffic.
Queueing Syst. Theory Appl., 2008