Rahul Kidambi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
9
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Fundamental Limits of Perfect Concept Erasure. | Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi |
| 2024 | EMNLP | Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning. | Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ram, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Lonard Hussenot, Olivier Bachem, Edouard Leurent |
| 2024 | ICLR | Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. | Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi |
| 2024 | ICML | A Minimaximalist Approach to Reinforcement Learning from Human Feedback. | Gokul Swamy, Christoph Dann, Rahul Kidambi, Steven Wu, Alekh Agarwal |
| 2024 | KDD | Auctions with LLM Summaries. | Avinava Dubey, Zhe Feng, Rahul Kidambi, Aranyak Mehta, Di Wang |
| 2022 | SIGIR | Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion. | Adam Block, Rahul Kidambi, Daniel N. Hill, Thorsten Joachims, Inderjit S. Dhillon |
| 2021 | ICML | Top-k eXtreme Contextual Bandits with Arm Hierarchy. | Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean P. Foster, Daniel N. Hill, Inderjit S. Dhillon |
| 2021 | ICML | Making Paper Reviewing Robust to Bid Manipulation Attacks. | Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger |
| 2020 | ALT | Leverage Score Sampling for Faster Accelerated Regression and ERM. | Naman Agarwal, Sham M. Kakade, Rahul Kidambi, Yin Tat Lee, Praneeth Netrapalli, Aaron Sidford |
| 2019 | COLT | Open Problem: Do Good Algorithms Necessarily Query Bad Points? | Rong Ge, Prateek Jain, Sham M. Kakade, Rahul Kidambi, Dheeraj M. Nagaraj, Praneeth Netrapalli |
| 2018 | COLT | Accelerating Stochastic Gradient Descent for Least Squares Regression. | Prateek Jain, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli, Aaron Sidford |
| 2018 | ICLR | On the insufficiency of existing momentum schemes for Stochastic Optimization. | Rahul Kidambi, Praneeth Netrapalli, Prateek Jain, Sham M. Kakade |
| 2018 | ITA | On the Insufficiency of Existing Momentum Schemes for Stochastic Optimization. | Rahul Kidambi, Praneeth Netrapalli, Prateek Jain, Sham M. Kakade |