no code implementations • 1 Oct 2023 • Khiem Pham, David A. Hirshberg, Phuong-Mai Huynh-Pham, Michele Santacatterina, Ser-Nam Lim, Ramin Zabih
Our experiments on synthetic and semi-synthetic data demonstrate that our method has competitive bias and smaller variance than debiased machine learning approaches.
1 code implementation • NeurIPS 2023 • A. Feder Cooper, Wentao Guo, Khiem Pham, Tiancheng Yuan, Charlie F. Ruan, Yucheng Lu, Christopher De Sa
Recent research on online Gradient Balancing (GraB) has revealed that there exist permutation-based example orderings for SGD that are guaranteed to outperform random reshuffling (RR).
6 code implementations • 6 Mar 2020 • Vitalik Buterin, Diego Hernandez, Thor Kamphefner, Khiem Pham, Zhi Qiao, Danny Ryan, Juhyeok Sin, Ying Wang, Yan X Zhang
We present "Gasper," a proof-of-stake-based consensus protocol, which is an idealized version of the proposed Ethereum 2. 0 beacon chain.
Cryptography and Security 68W15
1 code implementation • ICML 2020 • Khiem Pham, Khang Le, Nhat Ho, Tung Pham, Hung Bui
We provide a computational complexity analysis for the Sinkhorn algorithm that solves the entropic regularized Unbalanced Optimal Transport (UOT) problem between two measures of possibly different masses with at most $n$ components.
no code implementations • WS 2018 • Johnny Wei, Khiem Pham, Brendan O{'}Connor, Brian Dillon
We explore whether such output belongs to a formal and realistic grammar, by employing the English Resource Grammar (ERG), a broad coverage, linguistically precise HPSG-based grammar of English.
no code implementations • 6 Sep 2018 • Johnny Tian-Zheng Wei, Khiem Pham, Brian Dillon, Brendan O'Connor
We explore whether such output belongs to a formal and realistic grammar, by employing the English Resource Grammar (ERG), a broad coverage, linguistically precise HPSG-based grammar of English.
no code implementations • WS 2018 • Khiem Pham, Guangliang Chen
Spectral clustering has received a lot of attention due to its ability to separate nonconvex, non-intersecting manifolds, but its high computational complexity has significantly limited its applicability.
Ranked #7 on Image/Document Clustering on pendigits