Nikki Lijing Kuang

According to our database1, Nikki Lijing Kuang authored at least 17 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Residual Skill Optimization for Text-to-SQL Ensembles.
CoRR, May, 2026

OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents.
CoRR, May, 2026

Skill-R1: Agent Skill Evolution via Reinforcement Learning.
CoRR, May, 2026

Beyond Mode Elicitation: Diversity-Preserving Reinforcement Learning via Latent Diffusion Reasoner.
CoRR, February, 2026

2025
LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning.
CoRR, October, 2025

Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion.
CoRR, May, 2025

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

Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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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