Nikki Lijing Kuang

According to our database1, Nikki Lijing Kuang authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Log-concave Sampling over a Convex Body with a Barrier: a Robust and Unified Dikin Walk.
CoRR, 2024

Diff-BBO: Diffusion-Based Inverse Modeling for Black-Box Optimization.
CoRR, 2024

2023
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

2022
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection.
CoRR, 2022

2019
Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Analysis of Evolutionary Behavior in Self-Learning Media Search Engines.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Stochastic Reinforcement Learning.
Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

Performance Dynamics and Termination Errors in Reinforcement Learning - A Unifying Perspective.
Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018


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