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Davin Choo
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2020 – today
- 2024
- [j1]Davin Choo, Yan Hao Ling, Warut Suksompong, Nicholas Teh, Jian Zhang:
Envy-free house allocation with minimum subsidy. Oper. Res. Lett. 54: 107103 (2024) - [c15]Davin Choo, Kirankumar Shiragur, Caroline Uhler:
Causal Discovery under Off-Target Interventions. AISTATS 2024: 1621-1629 - [c14]Davin Choo, Joy Qiping Yang, Arnab Bhattacharyya, Clément L. Canonne:
Learning bounded-degree polytrees with known skeleton. ALT 2024: 402-443 - [c13]Davin Choo, Themistoklis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya:
Online bipartite matching with imperfect advice. ICML 2024 - [c12]Simina Brânzei, Davin Choo, Nicholas J. Recker:
The Sharp Power Law of Local Search on Expanders. SODA 2024: 1792-1809 - [i18]Davin Choo, Kirankumar Shiragur, Caroline Uhler:
Causal Discovery under Off-Target Interventions. CoRR abs/2402.08229 (2024) - [i17]Davin Choo, Yan Hao Ling, Warut Suksompong, Nicholas Teh, Jian Zhang:
Envy-Free House Allocation with Minimum Subsidy. CoRR abs/2403.01162 (2024) - [i16]Davin Choo, Themis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya:
Online bipartite matching with imperfect advice. CoRR abs/2405.09784 (2024) - [i15]Arnab Bhattacharyya, Davin Choo, Sutanu Gayen, Dimitrios Myrisiotis:
Learnability of Parameter-Bounded Bayes Nets. CoRR abs/2407.00927 (2024) - 2023
- [c11]Davin Choo, Kirankumar Shiragur:
Subset verification and search algorithms for causal DAGs. AISTATS 2023: 4409-4442 - [c10]Anthimos Vardis Kandiros, Constantinos Daskalakis, Yuval Dagan, Davin Choo:
Learning and Testing Latent-Tree Ising Models Efficiently. COLT 2023: 1666-1729 - [c9]Davin Choo, Themistoklis Gouleakis, Arnab Bhattacharyya:
Active causal structure learning with advice. ICML 2023: 5838-5867 - [c8]Davin Choo, Kirankumar Shiragur:
New metrics and search algorithms for weighted causal DAGs. ICML 2023: 5868-5903 - [c7]Davin Choo, Kirankumar Shiragur:
Adaptivity Complexity for Causal Graph Discovery. UAI 2023: 391-402 - [i14]Davin Choo, Kirankumar Shiragur:
Subset verification and search algorithms for causal DAGs. CoRR abs/2301.03180 (2023) - [i13]Davin Choo, Kirankumar Shiragur:
New metrics and search algorithms for weighted causal DAGs. CoRR abs/2305.04445 (2023) - [i12]Simina Brânzei, Davin Choo, Nicholas J. Recker:
The Sharp Power Law of Local Search on Expanders. CoRR abs/2305.08269 (2023) - [i11]Davin Choo, Themis Gouleakis, Arnab Bhattacharyya:
Active causal structure learning with advice. CoRR abs/2305.19588 (2023) - [i10]Davin Choo, Kirankumar Shiragur:
Adaptivity Complexity for Causal Graph Discovery. CoRR abs/2306.05781 (2023) - [i9]Davin Choo, Joy Qiping Yang, Arnab Bhattacharyya, Clément L. Canonne:
Learning bounded-degree polytrees with known skeleton. CoRR abs/2310.06333 (2023) - 2022
- [c6]Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang:
Learning Sparse Fixed-Structure Gaussian Bayesian Networks. AISTATS 2022: 9400-9429 - [c5]Davin Choo, Kirankumar Shiragur, Arnab Bhattacharyya:
Verification and search algorithms for causal DAGs. NeurIPS 2022 - [i8]Davin Choo, Kirankumar Shiragur, Arnab Bhattacharyya:
Verification and search algorithms for causal DAGs. CoRR abs/2206.15374 (2022) - [i7]Davin Choo, Yuval Dagan, Constantinos Daskalakis, Anthimos Vardis Kandiros:
Learning and Testing Latent-Tree Ising Models Efficiently. CoRR abs/2211.13291 (2022) - 2021
- [c4]Davin Choo, Tommaso d'Orsi:
The Complexity of Sparse Tensor PCA. NeurIPS 2021: 7993-8005 - [c3]Mélanie Cambus, Davin Choo, Havu Miikonen, Jara Uitto:
Massively Parallel Correlation Clustering in Bounded Arboricity Graphs. DISC 2021: 15:1-15:18 - [i6]Mélanie Cambus, Davin Choo, Havu Miikonen, Jara Uitto:
Massively Parallel Correlation Clustering in Bounded Arboricity Graphs. CoRR abs/2102.11660 (2021) - [i5]Davin Choo, Tommaso d'Orsi:
The Complexity of Sparse Tensor PCA. CoRR abs/2106.06308 (2021) - [i4]Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang:
Learning Sparse Fixed-Structure Gaussian Bayesian Networks. CoRR abs/2107.10450 (2021) - 2020
- [c2]Davin Choo, Christoph Grunau, Julian Portmann, Václav Rozhon:
k-means++: few more steps yield constant approximation. ICML 2020: 1909-1917 - [i3]Davin Choo, Christoph Grunau, Julian Portmann, Václav Rozhon:
k-means++: few more steps yield constant approximation. CoRR abs/2002.07784 (2020)
2010 – 2019
- 2019
- [c1]Davin Choo, Mate Soos, Kian Ming Adam Chai, Kuldeep S. Meel:
Bosphorus: Bridging ANF and CNF Solvers. DATE 2019: 468-473 - 2018
- [i2]Jing Lim, Joshua Wong, Minn Xuan Wong, Lee Han Eric Tan, Hai Leong Chieu, Davin Choo, Neng Kai Nigel Neo:
Chemical Structure Elucidation from Mass Spectrometry by Matching Substructures. CoRR abs/1811.07886 (2018) - [i1]Davin Choo, Mate Soos, Kian Ming Adam Chai, Kuldeep S. Meel:
BOSPHORUS: Bridging ANF and CNF Solvers. CoRR abs/1812.04580 (2018)
Coauthor Index
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last updated on 2024-09-04 00:29 CEST by the dblp team
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