Rao, Anup

20 publications

NeurIPS 2025 Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization Subhojyoti Mukherjee, Viet Dac Lai, Raghavendra Addanki, Ryan A. Rossi, Seunghyun Yoon, Trung Bui, Anup Rao, Jayakumar Subramanian, Branislav Kveton

AISTATS 2025 On Distributional Discrepancy for Experimental Design with General Assignment Probabilities Anup Rao, Peng Zhang

ECCV 2024 ReCON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories Chen-Yi Lu, Shubham Agarwal, Md Mehrab Tanjim, Kanak Mahadik, Anup Rao, Subrata Mitra, Shiv K Saini, Saurabh Bagchi, Somali Chaterji

AISTATS 2023 Optimal Sketching Bounds for Sparse Linear Regression Tung Mai, Alexander Munteanu, Cameron Musco, Anup Rao, Chris Schwiegelshohn, David Woodruff

ICML 2022 One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen Ahmed

ICML 2022 Online Balanced Experimental Design David Arbour, Drew Dimmery, Tung Mai, Anup Rao

NeurIPS 2022 Sample Constrained Treatment Effect Estimation Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao

AISTATS 2021 Designing Transportable Experiments Under S-Admissability My Phan, David Arbour, Drew Dimmery, Anup Rao

AISTATS 2021 Efficient Balanced Treatment Assignments for Experimentation David Arbour, Drew Dimmery, Anup Rao

ICML 2021 Asymptotics of Ridge Regression in Convolutional Models Mojtaba Sahraee-Ardakan, Tung Mai, Anup Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K Fletcher

NeurIPS 2021 Coresets for Classification – Simplified and Strengthened Tung Mai, Cameron Musco, Anup Rao

ICML 2021 Fundamental Tradeoffs in Distributionally Adversarial Training Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup Rao, Tung Mai

AAAI 2021 Graph Neural Networks with Heterophily Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra

COLT 2021 Machine Unlearning via Algorithmic Stability Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora

NeurIPS 2020 Model Selection in Contextual Stochastic Bandit Problems Aldo Pacchiano, My Phan, Yasin Abbasi Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvari

UAI 2019 On Densification for Minwise Hashing Tung Mai, Anup Rao, Matt Kapilevich, Ryan Rossi, Yasin Abbasi-Yadkori, Ritwik Sinha

AISTATS 2019 Sample Efficient Graph-Based Optimization with Noisy Observations Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton

COLT 2015 Algorithms for Lipschitz Learning on Graphs Rasmus Kyng, Anup Rao, Sushant Sachdeva, Daniel A. Spielman

NeurIPS 2015 Fast, Provable Algorithms for Isotonic Regression in All L_p-Norms Rasmus Kyng, Anup Rao, Sushant Sachdeva

COLT 2015 Stochastic Block Model and Community Detection in Sparse Graphs: A Spectral Algorithm with Optimal Rate of Recovery Peter Chin, Anup Rao, Van Vu