Kyurae Kim

Orcid: 0000-0003-2063-0889

According to our database1, Kyurae Kim authored at least 10 papers between 2022 and 2024.

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

Timeline

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Links

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Bibliography

2024
Stochastic Approximation with Biased MCMC for Expectation Maximization.
CoRR, 2024

Provably Scalable Black-Box Variational Inference with Structured Variational Families.
CoRR, 2024

2023
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
CoRR, 2023

The Behavior and Convergence of Local Bayesian Optimization.
CoRR, 2023

Black-Box Variational Inference Converges.
CoRR, 2023

The Behavior and Convergence of Local Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Convergence of Black-Box Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference.
Proceedings of the International Conference on Machine Learning, 2023

2022
A Probabilistic Machine Learning Approach to Scheduling Parallel Loops with Bayesian Optimization.
CoRR, 2022

Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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