Kuikui Liu
According to our database1,
Kuikui Liu
authored at least 17 papers
between 2018 and 2024.
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Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
TheoretiCS, 2024
Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore Model.
SIAM J. Comput., 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024
Locally Stationary Distributions: A Framework for Analyzing Slow-Mixing Markov Chains.
Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024
2023
SIAM J. Comput., February, 2023
CoRR, 2023
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023
2021
Optimal mixing of Glauber dynamics: entropy factorization via high-dimensional expansion.
Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021
Log-concave polynomials IV: approximate exchange, tight mixing times, and near-optimal sampling of forests.
Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021
A Matrix Trickle-Down Theorem on Simplicial Complexes and Applications to Sampling Colorings.
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021
From Coupling to Spectral Independence and Blackbox Comparison with the Down-Up Walk.
Proceedings of the Approximation, 2021
2020
Log-Concave Polynomials IV: Exchange Properties, Tight Mixing Times, and Faster Sampling of Spanning Trees.
CoRR, 2020
2019
Log-concave polynomials II: high-dimensional walks and an FPRAS for counting bases of a matroid.
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019
2018
Log-Concave Polynomials III: Mason's Ultra-Log-Concavity Conjecture for Independent Sets of Matroids.
CoRR, 2018