| No. |
Title |
Author |
Year |
| 1 |
A Unified Approach to Discrepancy Minimization |
Bansal, Nikhil et al. |
2022 |
| 2 |
The Manifold Joys of Sampling (Invited Talk) |
Lee, Yin Tat et al. |
2022 |
| 3 |
Convergence of Gibbs Sampling: Coordinate Hit-And-Run Mixes Fast |
Laddha, Aditi et al. |
2021 |
| 4 |
Optimal Convergence Rate of Hamiltonian Monte Carlo for Strongly Logconcave Distributions |
Chen, Zongchen et al. |
2019 |
| 5 |
Continuous Algorithms (Invited Paper) |
Vempala, Santosh |
2018 |
| 6 |
Long Term Memory and the Densest K-Subgraph Problem |
Legenstein, Robert et al. |
2018 |
| 7 |
Random Projection in the Brain and Computation with Assemblies of Neurons |
Papadimitriou, Christos H. et al. |
2018 |
| 8 |
Frontmatter, Table of Contents, Preface, Organization, External Reviewers, List of Authors |
Jansen, Klaus et al. |
2017 |
| 9 |
LIPIcs, Volume 81, APPROX/RANDOM'17, Complete Volume |
Jansen, Klaus et al. |
2017 |
| 10 |
Towards Human Computable Passwords |
Blocki, Jeremiah et al. |
2017 |
| 11 |
Randomly-oriented k-d Trees Adapt to Intrinsic Dimension |
Vempala, Santosh S. |
2012 |
| 12 |
Recent Progress and Open Problems in Algorithmic Convex Geometry |
Vempala, Santosh S. |
2010 |
