Fully Dynamic Set Cover - Improved and Simple. - Raghavendra Addanki; Barna Saha (CoRR, 2018)

Dynamic set cover: improved algorithms and lower bounds. - Amir Abboud; Raghavendra Addanki; Fabrizio Grandoni 001; Debmalya Panigrahi; Barna Saha (STOC, 2019)

Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics. - Khushbu Agarwal; Tome Eftimov; Raghavendra Addanki; Sutanay Choudhury; Suzanne Tamang; Robert Rallo (CoRR, 2019)

Efficient Intervention Design for Causal Discovery with Latents. - Raghavendra Addanki; Shiva Prasad Kasiviswanathan; Andrew McGregor 001; Cameron Musco (ICML, 2020)

Search Result Diversification with Guarantee of Topic Proportionality. - Sheikh Muhammad Sarwar; Raghavendra Addanki; Ali Montazeralghaem; Soumyabrata Pal; James Allan (ICTIR, 2020)

Intervention Efficient Algorithms for Approximate Learning of Causal Graphs. - Raghavendra Addanki; Andrew McGregor 001; Cameron Musco (ALT, 2021)

Collaborative Causal Discovery with Atomic Interventions. - Raghavendra Addanki; Shiva Prasad Kasiviswanathan (NeurIPS, 2021)

How to Design Robust Algorithms using Noisy Comparison Oracle. - Raghavendra Addanki; Sainyam Galhotra; Barna Saha (Proc. VLDB Endow., 2021)

Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries. - Raghavendra Addanki; Andrew McGregor 001; Cameron Musco (ESA, 2022)

Improved Approximation and Scalability for Fair Max-Min Diversification. - Raghavendra Addanki; Andrew McGregor 001; Alexandra Meliou; Zafeiria Moumoulidou (ICDT, 2022)

Sample Constrained Treatment Effect Estimation. - Raghavendra Addanki; David Arbour; Tung Mai; Cameron Musco; Anup Rao 002 (NeurIPS, 2022)

Causal Discovery in Semi-Stationary Time Series. - Shanyun Gao; Raghavendra Addanki; Tong Yu 001; Ryan A. Rossi; Murat Kocaoglu (NeurIPS, 2023)

Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform. - Akash Maharaj; Ritwik Sinha; David Arbour; Ian Waudby-Smith; Simon Z. Liu; Moumita Sinha; Raghavendra Addanki; Aaditya Ramdas; Manas Garg; Viswanathan Swaminathan 001 (WWW (Companion Volume), 2023)

Limits of Approximating the Median Treatment Effect. - Raghavendra Addanki; Siddharth Bhandari (COLT, 2024)

Continuous Treatment Effects with Surrogate Outcomes. - Zhenghao Zeng; David Arbour; Avi Feller; Raghavendra Addanki; Ryan A. Rossi; Ritwik Sinha; Edward H. Kennedy (ICML, 2024)

Causal Discovery-Driven Change Point Detection in Time Series. - Shanyun Gao; Raghavendra Addanki; Tong Yu 001; Ryan A. Rossi; Murat Kocaoglu (AISTATS, 2025)

Learning to Clarify by Reinforcement Learning Through Reward-Weighted Fine-Tuning. - Subhojyoti Mukherjee; Viet Dac Lai; Raghavendra Addanki; Ryan A. Rossi; Seunghyun Yoon 002; Trung Bui; Anup B. Rao; Jayakumar Subramanian; Branislav Kveton (CoRR, 2025)