Ravikumar, Pradeep Kumar

28 publications

ICML 2025 Contextures: Representations from Contexts Runtian Zhai, Kai Yang, Burak Varıcı, Che-Ping Tsai, J Zico Kolter, Pradeep Kumar Ravikumar

TMLR 2025 LLM-Select: Feature Selection with Large Language Models Daniel P Jeong, Zachary Chase Lipton, Pradeep Kumar Ravikumar

ICLR 2025 Learning from Weak Labelers as Constraints Vishwajeet Agrawal, Rattana Pukdee, Maria Florina Balcan, Pradeep Kumar Ravikumar

AISTATS 2025 On the Consistent Recovery of Joint Distributions from Conditionals Mahbod Majid, Rattana Pukdee, Vishwajeet Agrawal, Burak Varıcı, Pradeep Kumar Ravikumar

CLeaR 2024 An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis Goutham Rajendran, Patrik Reizinger, Wieland Brendel, Pradeep Kumar Ravikumar

ICLRW 2024 Augmentation Alone Leads to Generalization Runtian Zhai, Bingbin Liu, Andrej Risteski, J Zico Kolter, Pradeep Kumar Ravikumar

ICMLW 2024 Do LLMs Dream of Elephants (when Told Not to)? Latent Concept Association and Associative Memory in Transformers Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam

ICMLW 2024 Do LLMs Dream of Elephants (when Told Not to)? Latent Concept Association and Associative Memory in Transformers Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam

NeurIPSW 2024 Do LLMs Dream of Elephants (when Told Not to)? Latent Concept Association and Associative Memory in Transformers Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam

NeurIPSW 2024 From Causal to Concept-Based Representation Learning Goutham Rajendran, Simon Buchholz, Bryon Aragam, Bernhard Schölkopf, Pradeep Kumar Ravikumar

ICLR 2024 Identifying Representations for Intervention Extrapolation Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters

ICML 2024 On the Origins of Linear Representations in Large Language Models Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam, Victor Veitch

ICLR 2024 Spectrally Transformed Kernel Regression Runtian Zhai, Rattana Pukdee, Roger Jin, Maria Florina Balcan, Pradeep Kumar Ravikumar

ICLR 2024 Understanding Augmentation-Based Self-Supervised Representation Learning via RKHS Approximation and Regression Runtian Zhai, Bingbin Liu, Andrej Risteski, J Zico Kolter, Pradeep Kumar Ravikumar

ICLR 2023 Concept Gradient: Concept-Based Interpretation Without Linear Assumption Andrew Bai, Chih-Kuan Yeh, Neil Y.C. Lin, Pradeep Kumar Ravikumar, Cho-Jui Hsieh

ICMLW 2023 Global Optimality in Bivariate Gradient-Based DAG Learning Chang Deng, Kevin Bello, Pradeep Kumar Ravikumar, Bryon Aragam

NeurIPSW 2023 Identifying Representations for Intervention Extrapolation Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters

ICLR 2023 Label Propagation with Weak Supervision Rattana Pukdee, Dylan Sam, Pradeep Kumar Ravikumar, Nina Balcan

ICMLW 2023 Learning Linear Causal Representations from Interventions Under General Nonlinear Mixing Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Kumar Ravikumar

ICLRW 2023 Learning with Explanation Constraints Rattana Pukdee, Dylan Sam, J Zico Kolter, Nina Balcan, Pradeep Kumar Ravikumar

ICML 2023 Optimizing NOTEARS Objectives via Topological Swaps Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar

ICML 2023 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

ICLR 2023 Understanding Why Generalized Reweighting Does Not Improve over ERM Runtian Zhai, Chen Dan, J Zico Kolter, Pradeep Kumar Ravikumar

ICLR 2022 Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation Bingbin Liu, Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski

NeurIPSW 2022 Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski

ICLR 2022 FILM: Following Instructions in Language with Modular Methods So Yeon Min, Devendra Singh Chaplot, Pradeep Kumar Ravikumar, Yonatan Bisk, Ruslan Salakhutdinov

ICLR 2021 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

ICLR 2021 The Risks of Invariant Risk Minimization Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski