Xingyu Zhou

Bo Ji

Proc. ACM Meas. Anal. Comput. Syst., March, 2023

Differentially Private Reward Estimation with Preference Feedback.

[BibT_eX]

[DOI]

Nagarajan Natarajan

CoRR, 2023

On Differentially Private Federated Linear Contextual Bandits.

[BibT_eX]

[DOI]

CoRR, 2023

On Private and Robust Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation.

[BibT_eX]

[DOI]

Arnob Ghosh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Distributed Differential Privacy in Multi-Armed Bandits.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Provably Efficient Model-Free Algorithms for Non-stationary CMDPs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Differentially Private Reinforcement Learning with Linear Function Approximation.

[BibT_eX]

[DOI]

Proc. ACM Meas. Anal. Comput. Syst., 2022

Differentially Private Linear Bandits with Partial Distributed Feedback.

[BibT_eX]

[DOI]

Fengjiao Li

Bo Ji

Proceedings of the 20th International Symposium on Modeling and Optimization in Mobile, 2022

Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits.

[BibT_eX]

[DOI]

Proceedings of the 20th International Symposium on Modeling and Optimization in Mobile, 2022

Provably Efficient Model-Free Constrained RL with Linear Function Approximation.

[BibT_eX]

[DOI]

Arnob Ghosh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Kernelized Multi-Armed Bandits with Constraints.

[BibT_eX]

[DOI]

Bo Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Shuffle Private Linear Contextual Bandits.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Weighted Gaussian Process Bandits for Non-stationary Environments.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Differentially Private Regret Minimization in Episodic Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Adaptive Control of Differentially Private Linear Quadratic Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

No-Regret Algorithms for Time-Varying Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

Local Differential Privacy for Bayesian Optimization.

[BibT_eX]

[DOI]

Jian Tan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Asymptotically Optimal Load Balancing in Large-scale Heterogeneous Systems with Multiple Dispatchers.

[BibT_eX]

[DOI]

Adam Wierman

SIGMETRICS Perform. Evaluation Rev., 2020

Optimal Load Balancing with Locality Constraints.

[BibT_eX]

[DOI]

Wentao Weng

R. Srikant

Proc. ACM Meas. Anal. Comput. Syst., 2020

Optimal Load Balancing in Bipartite Graphs.

[BibT_eX]

[DOI]

Wentao Weng

R. Srikant

CoRR, 2020

Multi-Armed Bandits with Local Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2020

A Note on Load Balancing in Many-Server Heavy-Traffic Regime.

[BibT_eX]

[DOI]

CoRR, 2020

A Note on Stein's Method for Heavy-Traffic Analysis.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Asymptotically Optimal Load Balancing: Theory and Algorithms.

[BibT_eX]

[DOI]

SIGMETRICS Perform. Evaluation Rev., 2019

2018

Flexible Load Balancing with Multi-dimensional State-space Collapse: Throughput and Heavy-traffic Delay Optimality.

[BibT_eX]

[DOI]

Jian Tan

SIGMETRICS Perform. Evaluation Rev., 2018

Degree of Queue Imbalance: Overcoming the Limitation of Heavy-traffic Delay Optimality in Load Balancing Systems.

[BibT_eX]

[DOI]

Proc. ACM Meas. Anal. Comput. Syst., 2018

Heavy-traffic Delay Optimality in Pull-based Load Balancing Systems: Necessary and Sufficient Conditions.

[BibT_eX]

[DOI]

Jian Tan

Proc. ACM Meas. Anal. Comput. Syst., 2018

2017

Designing Low-Complexity Heavy-Traffic Delay-Optimal Load Balancing Schemes: Theory to Algorithms.

[BibT_eX]

[DOI]

Proc. ACM Meas. Anal. Comput. Syst., 2017

2015

Greedy Relay Antenna Selection for Sum Rate Maximization in Amplify-and-Forward MIMO Two-Way Relay Channels Under a Holistic Power Model.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2015

How Many Antennas Should Be Activated in Keyhole Channels Under a Holistic Power Model.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2015

Energy efficient relay antenna selection for AF MIMO two-way relay channels.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014

Iterative Antenna Selection for Multi-Stream MIMO under a Holistic Power Model.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2014

Iterative Antenna Selection for Decode-and-Forward MIMO Relay Systems Under a Holistic Power Model.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2014

A Low Complexity Energy Efficiency Maximization Method for Multiuser Amplify-and-Forward MIMO Relay Systems With a Holistic Power Model.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2014

An iterative algorithm for joint antenna selection and power adaptation in energy efficient MIMO.

[BibT_eX]

[DOI]