Raghavendra Addanki

Orcid: 0000-0003-1478-083X

According to our database1, Raghavendra Addanki authored at least 16 papers between 2018 and 2024.

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Bibliography

2024
Causal Discovery-Driven Change Point Detection in Time Series.
CoRR, 2024

Continuous Treatment Effects with Surrogate Outcomes.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Limits of Approximating the Median Treatment Effect.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Causal Discovery in Semi-Stationary Time Series.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Sample Constrained Treatment Effect Estimation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improved Approximation and Scalability for Fair Max-Min Diversification.
Proceedings of the 25th International Conference on Database Theory, 2022

Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries.
Proceedings of the 30th Annual European Symposium on Algorithms, 2022

2021
How to Design Robust Algorithms using Noisy Comparison Oracle.
Proc. VLDB Endow., 2021

Collaborative Causal Discovery with Atomic Interventions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Intervention Efficient Algorithms for Approximate Learning of Causal Graphs.
Proceedings of the Algorithmic Learning Theory, 2021

2020
Search Result Diversification with Guarantee of Topic Proportionality.
Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020

Efficient Intervention Design for Causal Discovery with Latents.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics.
CoRR, 2019

Dynamic set cover: improved algorithms and lower bounds.
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

2018
Fully Dynamic Set Cover - Improved and Simple.
CoRR, 2018


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