Kirankumar Shiragur

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 43

Top Topics

Equivalence Class

Conditional Independence

Causal Discovery

Maximum Likelihood

Top Venues

Publications

Jiaqi Zhang, Kirankumar Shiragur, Caroline Uhler
Membership Testing in Markov Equivalence Classes via Independence Query Oracles. CoRR (2024)
Jiaqi Zhang, Kirankumar Shiragur, Caroline Uhler
Membership Testing in Markov Equivalence Classes via Independence Queries. AISTATS (2024)
Davin Choo, Kirankumar Shiragur, Caroline Uhler
Causal Discovery under Off-Target Interventions. AISTATS (2024)
Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
Causal Discovery with Fewer Conditional Independence Tests. CoRR (2024)
Davin Choo, Kirankumar Shiragur, Caroline Uhler
Causal Discovery under Off-Target Interventions. CoRR (2024)
Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur
Quantifying the Gain in Weak-to-Strong Generalization. CoRR (2024)
Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
Meek Separators and Their Applications in Targeted Causal Discovery. CoRR (2023)
Davin Choo, Kirankumar Shiragur
New metrics and search algorithms for weighted causal DAGs. ICML (2023)
Davin Choo, Kirankumar Shiragur
New metrics and search algorithms for weighted causal DAGs. CoRR (2023)
Shivam Garg, Chirag Pabbaraju, Kirankumar Shiragur, Gregory Valiant
Testing with Non-identically Distributed Samples. CoRR (2023)
Davin Choo, Kirankumar Shiragur
Subset verification and search algorithms for causal DAGs. CoRR (2023)
Davin Choo, Kirankumar Shiragur
Adaptivity Complexity for Causal Graph Discovery. CoRR (2023)
Arun Jambulapati, Jerry Li, Christopher Musco, Kirankumar Shiragur, Aaron Sidford, Kevin Tian
Structured Semidefinite Programming for Recovering Structured Preconditioners. CoRR (2023)
Arun Jambulapati, Jerry Li, Christopher Musco, Kirankumar Shiragur, Aaron Sidford, Kevin Tian
Structured Semidefinite Programming for Recovering Structured Preconditioners. NeurIPS (2023)
Davin Choo, Kirankumar Shiragur
Adaptivity Complexity for Causal Graph Discovery. UAI (2023)
Davin Choo, Kirankumar Shiragur
Subset verification and search algorithms for causal DAGs. AISTATS (2023)
Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
Meek Separators and Their Applications in Targeted Causal Discovery. NeurIPS (2023)
Itai Ashlagi, Anilesh K. Krishnaswamy, Rahul Makhijani, Daniela Sabán, Kirankumar Shiragur
Technical Note - Assortment Planning for Two-Sided Sequential Matching Markets. Oper. Res. 70 (5) (2022)
Moses Charikar, Zhihao Jiang, Kirankumar Shiragur, Aaron Sidford
On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood. NeurIPS (2022)
Davin Choo, Kirankumar Shiragur, Arnab Bhattacharyya
Verification and search algorithms for causal DAGs. NeurIPS (2022)
Moses Charikar, Zhihao Jiang, Kirankumar Shiragur, Aaron Sidford
On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood. CoRR (2022)
Davin Choo, Kirankumar Shiragur, Arnab Bhattacharyya
Verification and search algorithms for causal DAGs. CoRR (2022)
Yeganeh Alimohammadi, Nima Anari, Kirankumar Shiragur, Thuy-Duong Vuong
Fractionally log-concave and sector-stable polynomials: counting planar matchings and more. STOC (2021)
Yeganeh Alimohammadi, Nima Anari, Kirankumar Shiragur, Thuy-Duong Vuong
Fractionally Log-Concave and Sector-Stable Polynomials: Counting Planar Matchings and More. CoRR (2021)
Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford
The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood. COLT (2021)
Moses Charikar, Shivam Garg, Deborah M. Gordon, Kirankumar Shiragur
A Model for Ant Trail Formation and its Convergence Properties (Extended Abstract). ITCS (2021)
Kuno Kim, Shivam Garg, Kirankumar Shiragur, Stefano Ermon
Reward Identification in Inverse Reinforcement Learning. ICML (2021)
Yanjun Han, Kirankumar Shiragur
On the Competitive Analysis and High Accuracy Optimality of Profile Maximum Likelihood. SODA (2021)
Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford
Instance Based Approximations to Profile Maximum Likelihood. NeurIPS (2020)
Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford
The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood. CoRR (2020)
Moses Charikar, Kirankumar Shiragur, Aaron Sidford
A General Framework for Symmetric Property Estimation. CoRR (2020)
Yanjun Han, Kirankumar Shiragur
The Optimality of Profile Maximum Likelihood in Estimating Sorted Discrete Distributions. CoRR (2020)
Itai Ashlagi, Anilesh K. Krishnaswamy, Rahul Makhijani, Daniela Sabán, Kirankumar Shiragur
Assortment Planning for Two-Sided Sequential Matching Markets. WINE (2020)
Moses Charikar, Shivam Garg, Deborah M. Gordon, Kirankumar Shiragur
A Model for Ant Trail Formation and its Convergence Properties. CoRR (2020)
Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford
Instance Based Approximations to Profile Maximum Likelihood. CoRR (2020)
Moses Charikar, Kirankumar Shiragur, Aaron Sidford
Efficient Profile Maximum Likelihood for Universal Symmetric Property Estimation. CoRR (2019)
Moses Charikar, Kirankumar Shiragur, Aaron Sidford
A General Framework for Symmetric Property Estimation. NeurIPS (2019)
Moses Charikar, Kirankumar Shiragur, Aaron Sidford
Efficient profile maximum likelihood for universal symmetric property estimation. STOC (2019)
Itai Ashlagi, Anilesh K. Krishnaswamy, Rahul Makhijani, Daniela Sabán, Kirankumar Shiragur
Assortment planning for two-sided sequential matching markets. CoRR (2019)
Arun Jambulapati, Kirankumar Shiragur, Aaron Sidford
Efficient Structured Matrix Recovery and Nearly-Linear Time Algorithms for Solving Inverse Symmetric M-Matrices. CoRR (2018)
Deeparnab Chakrabarty, Kirankumar Shiragur
Graph Balancing with Two Edge Types. CoRR (2016)
Arnab Bhattacharyya, Kirankumar Shiragur
How friends and non-determinism affect opinion dynamics. CoRR (2015)
Arnab Bhattacharyya, Kirankumar Shiragur
How friends and non-determinism affect opinion dynamics. CDC (2015)