Davin Choo

52 papers A* 11A 6B 1Journal 32Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generative AI for Social Impact.
CoRR
Lingkai Kong, Cheol Woo Kim, Davin Choo, Milind Tambe
2026 J jnl
Generative Artificial Intelligence for Social Impact.
IEEE Intell. Syst.
Lingkai Kong, Cheol Woo Kim, Davin Choo, Milind Tambe
2026 J jnl
Incentive-Aware AI Safety via Strategic Resource Allocation: A Stackelberg Security Games Perspective.
CoRR
Cheol Woo Kim, Davin Choo, Tzeh Yuan Neoh, Milind Tambe
2026 A* conf
Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget.
AAAI
Davin Choo, Yohai Trabelsi, Fentabil Getnet, Samson Warkaye Lamma, Wondesen Nigatu, Kasahun Sime, Lisa Matay, Milind Tambe, Stéphane Verguet
2026 J jnl
Policy-Embedded Graph Expansion: Networked HIV Testing with Diffusion-Driven Network Samples.
CoRR
Akseli Kangaslahti, Davin Choo, Lingkai Kong, Milind Tambe, Alastair van Heerden, Cheryl Johnson
2025 J jnl
A partition cover approach to tokenization.
CoRR
Jia Peng Lim, Davin Choo, Hady W. Lauw
2025 J jnl
Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing.
CoRR
Davin Choo, Yuqi Pan, Tonghan Wang, Milind Tambe, Alastair van Heerden, Cheryl Johnson
2025 J jnl
Approximate Proportionality in Online Fair Division.
CoRR
Davin Choo, Winston Fu, Derek Khu, Tzeh Yuan Neoh, Tze-Yang Poon, Nicholas Teh
2025 A* conf
Learnability of Parameter-Bounded Bayes Nets.
AAAI
Arnab Bhattacharyya, Davin Choo, Sutanu Gayen, Dimitrios Myrisiotis
2025 A* conf
Learning multivariate Gaussians with imperfect advice.
ICML
Arnab Bhattacharyya, Davin Choo, Philips George John, Themis Gouleakis
2025 J jnl
Learning-Augmented Online Bipartite Fractional Matching.
CoRR
Davin Choo, Billy Jin, Yongho Shin
2025 J jnl
On Sequential Fault-Intolerant Process Planning.
CoRR
Andrzej Kaczmarczyk, Davin Choo, Niclas Boehmer, Milind Tambe, Haifeng Xu
2025 J jnl
Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget.
CoRR
Davin Choo, Yohai Trabelsi, Fentabil Getnet, Samson Warkaye Lamma, Wondesen Nigatu, Kasahun Sime, Lisa Matay, Milind Tambe, Stéphane Verguet
2025 — conf
Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set.
CLeaR
Davin Choo, Chandler Squires, Arnab Bhattacharyya, David Sontag
2025 J jnl
Product distribution learning with imperfect advice.
CoRR
Arnab Bhattacharyya, Davin Choo, Philips George John, Themis Gouleakis
2024 J jnl
A short note about the learning-augmented secretary problem.
CoRR
Davin Choo, Chun Kai Ling
2024 A conf
Causal Discovery under Off-Target Interventions.
AISTATS
Davin Choo, Kirankumar Shiragur, Caroline Uhler
2024 J jnl
Causal Discovery under Off-Target Interventions.
CoRR
Davin Choo, Kirankumar Shiragur, Caroline Uhler
2024 J jnl
Envy-Free House Allocation with Minimum Subsidy.
CoRR
Davin Choo, Yan Hao Ling, Warut Suksompong, Nicholas Teh, Jian Zhang
2024 J jnl
Envy-free house allocation with minimum subsidy.
Oper. Res. Lett.
Davin Choo, Yan Hao Ling, Warut Suksompong, Nicholas Teh, Jian Zhang
2024 J jnl
Learnability of Parameter-Bounded Bayes Nets.
CoRR
Arnab Bhattacharyya, Davin Choo, Sutanu Gayen, Dimitrios Myrisiotis
2024 B conf
Learning bounded-degree polytrees with known skeleton.
ALT
Davin Choo, Joy Qiping Yang, Arnab Bhattacharyya, Clément L. Canonne
2024 J jnl
Learning multivariate Gaussians with imperfect advice.
CoRR
Arnab Bhattacharyya, Davin Choo, Philips George John, Themis Gouleakis
2024 — conf
On Sequential Fault-Intolerant Process Planning.
GameSec (2)
Andrzej Kaczmarczyk, Davin Choo, Niclas Boehmer, Milind Tambe, Haifeng Xu
2024 A* conf
Online bipartite matching with imperfect advice.
ICML
Davin Choo, Themistoklis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya
2024 J jnl
Online bipartite matching with imperfect advice.
CoRR
Davin Choo, Themis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya
2024 A* conf
The Sharp Power Law of Local Search on Expanders.
SODA
Simina Brânzei, Davin Choo, Nicholas J. Recker
2023 A* conf
Active causal structure learning with advice.
ICML
Davin Choo, Themistoklis Gouleakis, Arnab Bhattacharyya
2023 J jnl
Active causal structure learning with advice.
CoRR
Davin Choo, Themis Gouleakis, Arnab Bhattacharyya
2023 A conf
Adaptivity Complexity for Causal Graph Discovery.
UAI
Davin Choo, Kirankumar Shiragur
2023 J jnl
Adaptivity Complexity for Causal Graph Discovery.
CoRR
Davin Choo, Kirankumar Shiragur
2023 A* conf
Learning and Testing Latent-Tree Ising Models Efficiently.
COLT
Anthimos Vardis Kandiros, Constantinos Daskalakis, Yuval Dagan, Davin Choo
2023 J jnl
Learning bounded-degree polytrees with known skeleton.
CoRR
Davin Choo, Joy Qiping Yang, Arnab Bhattacharyya, Clément L. Canonne
2023 A* conf
New metrics and search algorithms for weighted causal DAGs.
ICML
Davin Choo, Kirankumar Shiragur
2023 J jnl
New metrics and search algorithms for weighted causal DAGs.
CoRR
Davin Choo, Kirankumar Shiragur
2023 A conf
Subset verification and search algorithms for causal DAGs.
AISTATS
Davin Choo, Kirankumar Shiragur
2023 J jnl
Subset verification and search algorithms for causal DAGs.
CoRR
Davin Choo, Kirankumar Shiragur
2023 J jnl
The Sharp Power Law of Local Search on Expanders.
CoRR
Simina Brânzei, Davin Choo, Nicholas J. Recker
2022 A conf
Learning Sparse Fixed-Structure Gaussian Bayesian Networks.
AISTATS
Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang
2022 J jnl
Learning and Testing Latent-Tree Ising Models Efficiently.
CoRR
Davin Choo, Yuval Dagan, Constantinos Daskalakis, Anthimos Vardis Kandiros
2022 A* conf
Verification and search algorithms for causal DAGs.
NeurIPS
Davin Choo, Kirankumar Shiragur, Arnab Bhattacharyya
2022 J jnl
Verification and search algorithms for causal DAGs.
CoRR
Davin Choo, Kirankumar Shiragur, Arnab Bhattacharyya
2021 J jnl
Learning Sparse Fixed-Structure Gaussian Bayesian Networks.
CoRR
Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang
2021 A conf
Massively Parallel Correlation Clustering in Bounded Arboricity Graphs.
DISC
Mélanie Cambus, Davin Choo, Havu Miikonen, Jara Uitto
2021 J jnl
Massively Parallel Correlation Clustering in Bounded Arboricity Graphs.
CoRR
Mélanie Cambus, Davin Choo, Havu Miikonen, Jara Uitto
2021 A* conf
The Complexity of Sparse Tensor PCA.
NeurIPS
Davin Choo, Tommaso d'Orsi
2021 J jnl
The Complexity of Sparse Tensor PCA.
CoRR
Davin Choo, Tommaso d'Orsi
2020 A* conf
k-means++: few more steps yield constant approximation.
ICML
Davin Choo, Christoph Grunau, Julian Portmann, Václav Rozhon
2020 J jnl
k-means++: few more steps yield constant approximation.
CoRR
Davin Choo, Christoph Grunau, Julian Portmann, Václav Rozhon
2019 A conf
Bosphorus: Bridging ANF and CNF Solvers.
DATE
Davin Choo, Mate Soos, Kian Ming Adam Chai, Kuldeep S. Meel
2018 J jnl
BOSPHORUS: Bridging ANF and CNF Solvers.
CoRR
Davin Choo, Mate Soos, Kian Ming Adam Chai, Kuldeep S. Meel
2018 J jnl
Chemical Structure Elucidation from Mass Spectrometry by Matching Substructures.
CoRR
Jing Lim, Joshua Wong, Minn Xuan Wong, Lee Han Eric Tan, Hai Leong Chieu, Davin Choo, Neng Kai Nigel Neo