Pradeep Kumar Ravikumar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
3
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | On the Consistent Recovery of Joint Distributions from Conditionals. | Mahbod Majid, Rattana Pukdee, Vishwajeet Agrawal, Burak Varici, Pradeep Kumar Ravikumar |
| 2025 | ICLR | Learning from weak labelers as constraints. | Vishwajeet Agrawal, Rattana Pukdee, Maria-Florina Balcan, Pradeep Kumar Ravikumar |
| 2025 | ICML | Contextures: Representations from Contexts. | Runtian Zhai, Kai Yang, Burak Varici, Che-Ping Tsai, J. Zico Kolter, Pradeep Kumar Ravikumar |
| 2024 | ICLR | Identifying Representations for Intervention Extrapolation. | Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters |
| 2024 | ICLR | Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression. | Runtian Zhai, Bingbin Liu, Andrej Risteski, J. Zico Kolter, Pradeep Kumar Ravikumar |
| 2024 | ICLR | Spectrally Transformed Kernel Regression. | Runtian Zhai, Rattana Pukdee, Roger Jin, Maria-Florina Balcan, Pradeep Kumar Ravikumar |
| 2024 | ICML | On the Origins of Linear Representations in Large Language Models. | Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam, Victor Veitch |
| 2023 | ICLR | Concept Gradient: Concept-based Interpretation Without Linear Assumption. | Andrew Bai, Chih-Kuan Yeh, Neil Y. C. Lin, Pradeep Kumar Ravikumar, Cho-Jui Hsieh |
| 2023 | ICLR | Label Propagation with Weak Supervision. | Rattana Pukdee, Dylan Sam, Pradeep Kumar Ravikumar, Nina Balcan |
| 2023 | ICLR | Understanding Why Generalized Reweighting Does Not Improve Over ERM. | Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar |
| 2023 | ICML | Optimizing NOTEARS Objectives via Topological Swaps. | Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar |
| 2023 | ICML | Representer Point Selection for Explaining Regularized High-dimensional Models. | Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar |
| 2022 | ICLR | Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation. | Bingbin Liu, Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski |
| 2022 | ICLR | FILM: Following Instructions in Language with Modular Methods. | So Yeon Min, Devendra Singh Chaplot, Pradeep Kumar Ravikumar, Yonatan Bisk, Ruslan Salakhutdinov |
| 2021 | ICLR | Evaluations and Methods for Explanation through Robustness Analysis. | Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Kumar Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh |
| 2021 | ICLR | The Risks of Invariant Risk Minimization. | Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski |