Pradeep Kumar Ravikumar

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Kernel Regression

Risk Minimization

External Representations

Top Venues

Publications

Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters
Identifying Representations for Intervention Extrapolation. ICLR (2024)
Goutham Rajendran, Patrik Reizinger, Wieland Brendel, Pradeep Kumar Ravikumar
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis. CLeaR (2024)
Runtian Zhai, Rattana Pukdee, Roger Jin, Maria-Florina Balcan, Pradeep Kumar Ravikumar
Spectrally Transformed Kernel Regression. ICLR (2024)
Runtian Zhai, Bingbin Liu, Andrej Risteski, J. Zico Kolter, Pradeep Kumar Ravikumar
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression. ICLR (2024)
Rattana Pukdee, Dylan Sam, Pradeep Kumar Ravikumar, Nina Balcan
Label Propagation with Weak Supervision. ICLR (2023)
Andrew Bai, Chih-Kuan Yeh, Neil Y. C. Lin, Pradeep Kumar Ravikumar, Cho-Jui Hsieh
Concept Gradient: Concept-based Interpretation Without Linear Assumption. ICLR (2023)
Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar
Representer Point Selection for Explaining Regularized High-dimensional Models. ICML (2023)
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar
Understanding Why Generalized Reweighting Does Not Improve Over ERM. ICLR (2023)
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar
Optimizing NOTEARS Objectives via Topological Swaps. ICML (2023)
So Yeon Min, Devendra Singh Chaplot, Pradeep Kumar Ravikumar, Yonatan Bisk, Ruslan Salakhutdinov
FILM: Following Instructions in Language with Modular Methods. ICLR (2022)
Bingbin Liu, Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation. ICLR (2022)
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Kumar Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh
Evaluations and Methods for Explanation through Robustness Analysis. ICLR (2021)
Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski
The Risks of Invariant Risk Minimization. ICLR (2021)