Pradeep Kumar Ravikumar

19 papers A* 15A 1Journal 2Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Contextures: Representations from Contexts.
ICML
Runtian Zhai, Kai Yang, Burak Varici, Che-Ping Tsai, J. Zico Kolter, Pradeep Kumar Ravikumar
2025 J jnl
LLM-Select: Feature Selection with Large Language Models.
Trans. Mach. Learn. Res.
Daniel P. Jeong, Zachary Chase Lipton, Pradeep Kumar Ravikumar
2025 A* conf
Learning from weak labelers as constraints.
ICLR
Vishwajeet Agrawal, Rattana Pukdee, Maria-Florina Balcan, Pradeep Kumar Ravikumar
2025 A conf
On the Consistent Recovery of Joint Distributions from Conditionals.
AISTATS
Mahbod Majid, Rattana Pukdee, Vishwajeet Agrawal, Burak Varici, Pradeep Kumar Ravikumar
2024 — conf
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis.
CLeaR
Goutham Rajendran, Patrik Reizinger, Wieland Brendel, Pradeep Kumar Ravikumar
2024 A* conf
Identifying Representations for Intervention Extrapolation.
ICLR
Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters
2024 J jnl
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation.
CoRR
Bowen Li, Zhaoyu Li, Qiwei Du, Jinqi Luo, Wenshan Wang, Yaqi Xie, Simon Stepputtis, Chen Wang, Katia P. Sycara, Pradeep Kumar Ravikumar, Alexander G. Gray, Xujie Si, Sebastian A. Scherer
2024 A* conf
On the Origins of Linear Representations in Large Language Models.
ICML
Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam, Victor Veitch
2024 A* conf
Spectrally Transformed Kernel Regression.
ICLR
Runtian Zhai, Rattana Pukdee, Roger Jin, Maria-Florina Balcan, Pradeep Kumar Ravikumar
2024 A* conf
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression.
ICLR
Runtian Zhai, Bingbin Liu, Andrej Risteski, J. Zico Kolter, Pradeep Kumar Ravikumar
2023 A* conf
Concept Gradient: Concept-based Interpretation Without Linear Assumption.
ICLR
Andrew Bai, Chih-Kuan Yeh, Neil Y. C. Lin, Pradeep Kumar Ravikumar, Cho-Jui Hsieh
2023 A* conf
Label Propagation with Weak Supervision.
ICLR
Rattana Pukdee, Dylan Sam, Pradeep Kumar Ravikumar, Nina Balcan
2023 A* conf
Optimizing NOTEARS Objectives via Topological Swaps.
ICML
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar
2023 A* conf
Representer Point Selection for Explaining Regularized High-dimensional Models.
ICML
Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar
2023 A* conf
Understanding Why Generalized Reweighting Does Not Improve Over ERM.
ICLR
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar
2022 A* conf
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation.
ICLR
Bingbin Liu, Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski
2022 A* conf
FILM: Following Instructions in Language with Modular Methods.
ICLR
So Yeon Min, Devendra Singh Chaplot, Pradeep Kumar Ravikumar, Yonatan Bisk, Ruslan Salakhutdinov
2021 A* conf
Evaluations and Methods for Explanation through Robustness Analysis.
ICLR
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Kumar Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh
2021 A* conf
The Risks of Invariant Risk Minimization.
ICLR
Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski