Sutanu Gayen

Orcid: 0000-0003-3300-1627

According to our database1, Sutanu Gayen authored at least 19 papers between 2016 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Learnability of Parameter-Bounded Bayes Nets.
CoRR, 2024

Total Variation Distance for Product Distributions is #P-Complete.
CoRR, 2024

Distribution Learning Meets Graph Structure Sampling.
CoRR, 2024

Total Variation Distance Meets Probabilistic Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Near-Optimal Learning of Tree-Structured Distributions by Chow and Liu.
SIAM J. Comput., June, 2023

Total Variation Distance Estimation Is as Easy as Probabilistic Inference.
Electron. Colloquium Comput. Complex., 2023

On Approximating Total Variation Distance.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Efficient interventional distribution learning in the PAC framework.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Learning Sparse Fixed-Structure Gaussian Bayesian Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Efficient inference of interventional distributions.
CoRR, 2021

Near-optimal learning of tree-structured distributions by Chow-Liu.
Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

Testing Product Distributions: A Closer Look.
Proceedings of the Algorithmic Learning Theory, 2021

2020
Perfect Zero Knowledge: New Upperbounds and Relativized Separations.
IACR Cryptol. ePrint Arch., 2020

Efficiently Learning and Sampling Interventional Distributions from Observations.
CoRR, 2020

Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning and Sampling of Atomic Interventions from Observations.
Proceedings of the 37th International Conference on Machine Learning, 2020

2018
New Algorithms for Distributed Sliding Windows.
Proceedings of the 16th Scandinavian Symposium and Workshops on Algorithm Theory, 2018

KmerEstimate: A Streaming Algorithm for Estimating k-mer Counts with Optimal Space Usage.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2016
Algorithms for k-median Clustering over Distributed Streams.
Proceedings of the Computing and Combinatorics - 22nd International Conference, 2016


  Loading...