Raghavendra Addanki

30 papers A* 7A 3B 1Misc 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GT-SVJ: Generative-Transformer-Based Self-Supervised Video Judge For Efficient Video Reward Modeling. CoRR Shivanshu Shekhar, Uttaran Bhattacharya, Raghavendra Addanki, Md. Mehrab Tanjim, Somdeb Sarkhel, Tong Zhang
2025	A	`conf`	Causal Discovery-Driven Change Point Detection in Time Series. AISTATS Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
2025	J	`jnl`	Learning to Clarify by Reinforcement Learning Through Reward-Weighted Fine-Tuning. CoRR Subhojyoti Mukherjee, Viet Dac Lai, Raghavendra Addanki, Ryan A. Rossi, Seunghyun Yoon, Trung Bui, Anup B. Rao, Jayakumar Subramanian, Branislav Kveton
2025	J	`jnl`	ML-Tool-Bench: Tool-Augmented Planning for ML Tasks. CoRR Yaswanth Chittepu, Raghavendra Addanki, Tung Mai, Anup B. Rao, Branislav Kveton
2024	J	`jnl`	Causal Discovery in Semi-Stationary Time Series. CoRR Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
2024	J	`jnl`	Causal Discovery-Driven Change Point Detection in Time Series. CoRR Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
2024	A*	`conf`	Continuous Treatment Effects with Surrogate Outcomes. ICML Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy
2024	J	`jnl`	Continuous Treatment Effects with Surrogate Outcomes. CoRR Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy
2024	A*	`conf`	Limits of Approximating the Median Treatment Effect. COLT Raghavendra Addanki, Siddharth Bhandari
2024	J	`jnl`	Limits of Approximating the Median Treatment Effect. CoRR Raghavendra Addanki, Siddharth Bhandari
2023	—	`conf`	Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform. WWW (Companion Volume) Akash Maharaj, Ritwik Sinha, David Arbour, Ian Waudby-Smith, Simon Z. Liu, Moumita Sinha, Raghavendra Addanki, Aaditya Ramdas, Manas Garg, Viswanathan Swaminathan
2023	A*	`conf`	Causal Discovery in Semi-Stationary Time Series. NeurIPS Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
2022	A	`conf`	Improved Approximation and Scalability for Fair Max-Min Diversification. ICDT Raghavendra Addanki, Andrew McGregor, Alexandra Meliou, Zafeiria Moumoulidou
2022	J	`jnl`	Improved Approximation and Scalability for Fair Max-Min Diversification. CoRR Raghavendra Addanki, Andrew McGregor, Alexandra Meliou, Zafeiria Moumoulidou
2022	A	`conf`	Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries. ESA Raghavendra Addanki, Andrew McGregor, Cameron Musco
2022	J	`jnl`	Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries. CoRR Raghavendra Addanki, Andrew McGregor, Cameron Musco
2022	A*	`conf`	Sample Constrained Treatment Effect Estimation. NeurIPS Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao
2022	J	`jnl`	Sample Constrained Treatment Effect Estimation. CoRR Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao
2021	A*	`conf`	Collaborative Causal Discovery with Atomic Interventions. NeurIPS Raghavendra Addanki, Shiva Prasad Kasiviswanathan
2021	J	`jnl`	Collaborative Causal Discovery with Atomic Interventions. CoRR Raghavendra Addanki, Shiva Prasad Kasiviswanathan
2021	J	`jnl`	How to Design Robust Algorithms using Noisy Comparison Oracle. CoRR Raghavendra Addanki, Sainyam Galhotra, Barna Saha
2021	J	`jnl`	How to Design Robust Algorithms using Noisy Comparison Oracle. Proc. VLDB Endow. Raghavendra Addanki, Sainyam Galhotra, Barna Saha
2021	B	`conf`	Intervention Efficient Algorithms for Approximate Learning of Causal Graphs. ALT Raghavendra Addanki, Andrew McGregor, Cameron Musco
2020	A*	`conf`	Efficient Intervention Design for Causal Discovery with Latents. ICML Raghavendra Addanki, Shiva Prasad Kasiviswanathan, Andrew McGregor, Cameron Musco
2020	J	`jnl`	Efficient Intervention Design for Causal Discovery with Latents. CoRR Raghavendra Addanki, Shiva Prasad Kasiviswanathan, Andrew McGregor, Cameron Musco
2020	J	`jnl`	Intervention Efficient Algorithms for Approximate Learning of Causal Graphs. CoRR Raghavendra Addanki, Andrew McGregor, Cameron Musco
2020	Misc	`conf`	Search Result Diversification with Guarantee of Topic Proportionality. ICTIR Sheikh Muhammad Sarwar, Raghavendra Addanki, Ali Montazeralghaem, Soumyabrata Pal, James Allan
2019	A*	`conf`	Dynamic set cover: improved algorithms and lower bounds. STOC Amir Abboud, Raghavendra Addanki, Fabrizio Grandoni, Debmalya Panigrahi, Barna Saha
2019	J	`jnl`	Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics. CoRR Khushbu Agarwal, Tome Eftimov, Raghavendra Addanki, Sutanay Choudhury, Suzanne Tamang, Robert Rallo
2018	J	`jnl`	Fully Dynamic Set Cover - Improved and Simple. CoRR Raghavendra Addanki, Barna Saha