Raghavendra Addanki

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Causal Discovery

Directed Acyclic Graph

Top Venues

Proc. VLDB Endow.

Publications

Raghavendra Addanki, Siddharth Bhandari
Limits of Approximating the Median Treatment Effect. CoRR (2024)
Raghavendra Addanki, Siddharth Bhandari
Limits of Approximating the Median Treatment Effect. COLT (2024)
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
Causal Discovery in Semi-Stationary Time Series. CoRR (2024)
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
Causal Discovery-Driven Change Point Detection in Time Series. CoRR (2024)
Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy
Continuous Treatment Effects with Surrogate Outcomes. CoRR (2024)
Akash Maharaj, Ritwik Sinha, David Arbour, Ian Waudby-Smith, Simon Z. Liu, Moumita Sinha, Raghavendra Addanki, Aaditya Ramdas, Manas Garg, Viswanathan Swaminathan
Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform. WWW (Companion Volume) (2023)
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
Causal Discovery in Semi-Stationary Time Series. NeurIPS (2023)
Raghavendra Addanki, Andrew McGregor, Cameron Musco
Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries. CoRR (2022)
Raghavendra Addanki, Andrew McGregor, Alexandra Meliou, Zafeiria Moumoulidou
Improved Approximation and Scalability for Fair Max-Min Diversification. CoRR (2022)
Raghavendra Addanki, Andrew McGregor, Alexandra Meliou, Zafeiria Moumoulidou
Improved Approximation and Scalability for Fair Max-Min Diversification. ICDT (2022)
Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao
Sample Constrained Treatment Effect Estimation. CoRR (2022)
Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao
Sample Constrained Treatment Effect Estimation. NeurIPS (2022)
Raghavendra Addanki, Andrew McGregor, Cameron Musco
Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries. ESA (2022)
Raghavendra Addanki, Sainyam Galhotra, Barna Saha
How to Design Robust Algorithms using Noisy Comparison Oracle. Proc. VLDB Endow. 14 (10) (2021)
Raghavendra Addanki, Sainyam Galhotra, Barna Saha
How to Design Robust Algorithms using Noisy Comparison Oracle. CoRR (2021)
Raghavendra Addanki, Shiva Prasad Kasiviswanathan
Collaborative Causal Discovery with Atomic Interventions. CoRR (2021)
Raghavendra Addanki, Andrew McGregor, Cameron Musco
Intervention Efficient Algorithms for Approximate Learning of Causal Graphs. ALT (2021)
Raghavendra Addanki, Shiva Prasad Kasiviswanathan
Collaborative Causal Discovery with Atomic Interventions. NeurIPS (2021)
Raghavendra Addanki, Shiva Prasad Kasiviswanathan, Andrew McGregor, Cameron Musco
Efficient Intervention Design for Causal Discovery with Latents. CoRR (2020)
Raghavendra Addanki, Shiva Prasad Kasiviswanathan, Andrew McGregor, Cameron Musco
Efficient Intervention Design for Causal Discovery with Latents. ICML (2020)
Raghavendra Addanki, Andrew McGregor, Cameron Musco
Intervention Efficient Algorithms for Approximate Learning of Causal Graphs. CoRR (2020)
Sheikh Muhammad Sarwar, Raghavendra Addanki, Ali Montazeralghaem, Soumyabrata Pal, James Allan
Search Result Diversification with Guarantee of Topic Proportionality. ICTIR (2020)
Khushbu Agarwal, Tome Eftimov, Raghavendra Addanki, Sutanay Choudhury, Suzanne Tamang, Robert Rallo
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics. CoRR (2019)
Amir Abboud, Raghavendra Addanki, Fabrizio Grandoni, Debmalya Panigrahi, Barna Saha
Dynamic set cover: improved algorithms and lower bounds. STOC (2019)
Raghavendra Addanki, Barna Saha
Fully Dynamic Set Cover - Improved and Simple. CoRR (2018)