Siddharth Prasad

According to our database1, Siddharth Prasad authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
New Sequence-Independent Lifting Techniques for Cutting Planes and When They Induce Facets.
CoRR, 2024

2023
Content Prompting: Modeling Content Provider Dynamics to Improve User Welfare in Recommender Ecosystems.
CoRR, 2023

Bicriteria Multidimensional Mechanism Design with Side Information.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Maximizing Revenue under Market Shrinkage and Market Uncertainty.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improved Sample Complexity Bounds for Branch-And-Cut.
Proceedings of the 28th International Conference on Principles and Practice of Constraint Programming, 2022

2021
Improved Learning Bounds for Branch-and-Cut.
CoRR, 2021

Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Within an Instance for Designing High-Revenue Combinatorial Auctions.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Incentive Compatible Active Learning.
Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020

Efficient Algorithms for Learning Revenue-Maximizing Two-Part Tariffs.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Learning Time Dependent Choice.
Proceedings of the 10th Innovations in Theoretical Computer Science Conference, 2019


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