Pradeep Ravikumar

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2003–2023

Best venue rank

Where they publish

Papers

64 indexed papers, newest first.

Year	Venue	Title	Authors
2023	AISTATS	Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games.	Maria-Florina Balcan, Rattana Pukdee, Pradeep Ravikumar, Hongyang Zhang
2023	ECAI	Individual Fairness Under Uncertainty.	Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss
2022	AISTATS	An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization.	Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
2022	AISTATS	Heavy-tailed Streaming Statistical Estimation.	Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
2022	AISTATS	Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations.	Chih-Kuan Yeh, Kuan-Yun Lee, Frederick Liu, Pradeep Ravikumar
2022	AISTATS	Iterative Alignment Flows.	Zeyu Zhou, Ziyu Gong, Pradeep Ravikumar, David I. Inouye
2022	EMNLP	AnEMIC: A Framework for Benchmarking ICD Coding Models.	Juyong Kim, Abheesht Sharma, Suhas Shanbhogue, Jeremy C. Weiss, Pradeep Ravikumar
2022	ICML	Building Robust Ensembles via Margin Boosting.	Dinghuai Zhang, Hongyang Zhang, Aaron C. Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala
2021	AAAI	Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances.	Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee
2021	ACL	Improving Compositional Generalization in Classification Tasks via Structure Annotations.	Juyong Kim, Pradeep Ravikumar, Joshua Ainslie, Santiago Ontan
2021	AISTATS	Contrastive learning of strong-mixing continuous-time stochastic processes.	Bingbin Liu, Pradeep Ravikumar, Andrej Risteski
2021	COLT	Efficient Bandit Convex Optimization: Beyond Linear Losses.	Arun Sai Suggala, Pradeep Ravikumar, Praneeth Netrapalli
2021	ICML	On Proximal Policy Optimization's Heavy-tailed Gradients.	Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Zachary C. Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar
2021	ICML	DORO: Distributional and Outlier Robust Optimization.	Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
2021	UAI	Subseasonal climate prediction in the western US using Bayesian spatial models.	Vishwak Srinivasan, Justin Khim, Arindam Banerjee, Pradeep Ravikumar
2020	AISTATS	A Robust Univariate Mean Estimator is All You Need.	Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
2020	AISTATS	Learning Sparse Nonparametric DAGs.	Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
2020	ICLR	Minimizing FLOPs to Learn Efficient Sparse Representations.	Biswajit Paria, Chih-Kuan Yeh, Ian En-Hsu Yen, Ning Xu, Pradeep Ravikumar, Barnabs Pczos
2020	ICLR	MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius.	Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
2020	ICML	Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification.	Chen Dan, Yuting Wei, Pradeep Ravikumar
2020	ICML	Uniform Convergence of Rank-weighted Learning.	Justin Khim, Liu Leqi, Adarsh Prasad, Pradeep Ravikumar
2020	ICML	Certified Robustness to Label-Flipping Attacks via Randomized Smoothing.	Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter
2020	ICML	Class-Weighted Classification: Trade-offs and Robust Approaches.	Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar
2020	UAI	Automated Dependence Plots.	David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar
2019	AAAI	Building Human-Machine Trust via Interpretability.	Umang Bhatt, Pradeep Ravikumar, Jos M. F. Moura
2019	AISTATS	Revisiting Adversarial Risk.	Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar
2019	COLT	Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression.	Arun Sai Suggala, Kush Bhatia, Pradeep Ravikumar, Prateek Jain
2018	AAAI	A Voting-Based System for Ethical Decision Making.	Ritesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia
2018	EMNLP	Word Mover's Embedding: From Word2Vec to Document Embedding.	Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock
2018	ICML	Deep Density Destructors.	David I. Inouye, Pradeep Ravikumar
2018	ICML	Binary Classification with Karmic, Threshold-Quasi-Concave Metrics.	Bowei Yan, Oluwasanmi Koyejo, Kai Zhong, Pradeep Ravikumar
2018	ICML	Loss Decomposition for Fast Learning in Large Output Spaces.	Ian En-Hsu Yen, Satyen Kale, Felix X. Yu, Daniel Niels Holtmann-Rice, Sanjiv Kumar, Pradeep Ravikumar
2017	AISTATS	Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain.	Xiangru Huang, Ian En-Hsu Yen, Ruohan Zhang, Qixing Huang, Pradeep Ravikumar, Inderjit S. Dhillon
2017	AISTATS	Minimax Gaussian Classification & Clustering.	Tianyang Li, Xinyang Yi, Constantine Caramanis, Pradeep Ravikumar
2017	AISTATS	Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition.	Jiong Zhang, Ian En-Hsu Yen, Pradeep Ravikumar, Inderjit S. Dhillon
2017	ICML	Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization.	Qi Lei, Ian En-Hsu Yen, Chao-Yuan Wu, Inderjit S. Dhillon, Pradeep Ravikumar
2017	ICML	Ordinal Graphical Models: A Tale of Two Approaches.	Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar
2017	ICML	Latent Feature Lasso.	Ian En-Hsu Yen, Wei-Cheng Lee, Sung-En Chang, Arun Sai Suggala, Shou-De Lin, Pradeep Ravikumar
2017	KDD	PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification.	Ian En-Hsu Yen, Xiangru Huang, Wei Dai, Pradeep Ravikumar, Inderjit S. Dhillon, Eric P. Xing
2016	ICML	Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies.	David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon
2016	ICML	Optimal Classification with Multivariate Losses.	Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon
2016	ICML	PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification.	Ian En-Hsu Yen, Xiangru Huang, Pradeep Ravikumar, Kai Zhong, Inderjit S. Dhillon
2016	ICML	A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery.	Ian En-Hsu Yen, Xin Lin, Jiong Zhang, Pradeep Ravikumar, Inderjit S. Dhillon
2015	AISTATS	Sparsistency of 1-Regularized M-Estimators.	Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, Volkan Cevher
2015	ICML	Distributional Rank Aggregation, and an Axiomatic Analysis.	Adarsh Prasad, Harsh H. Pareek, Pradeep Ravikumar
2015	ICML	Vector-Space Markov Random Fields via Exponential Families.	Wesley Tansey, Oscar Hernan Madrid Padilla, Arun Sai Suggala, Pradeep Ravikumar
2015	ICML	A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models.	Ian En-Hsu Yen, Xin Lin, Kai Zhong, Pradeep Ravikumar, Inderjit S. Dhillon
2015	UAI	Tracking with ranked signals.	Tianyang Li, Harsh H. Pareek, Pradeep Ravikumar, Dhruv Balwada, Kevin Speer
2014	AISTATS	Mixed Graphical Models via Exponential Families.	Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu
2014	ICML	Exponential Family Matrix Completion under Structural Constraints.	Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh
2014	ICML	Admixture of Poisson MRFs: A Topic Model with Word Dependencies.	David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon
2014	ICML	Learning Graphs with a Few Hubs.	Rashish Tandon, Pradeep Ravikumar
2014	ICML	Elementary Estimators for High-Dimensional Linear Regression.	Eunho Yang, Aurlie C. Lozano, Pradeep Ravikumar
2014	ICML	Elementary Estimators for Sparse Covariance Matrices and other Structured Moments.	Eunho Yang, Aurlie C. Lozano, Pradeep Ravikumar
2013	ICML	Human Boosting.	Harsh H. Pareek, Pradeep Ravikumar
2013	IJCAI	On Robust Estimation of High Dimensional Generalized Linear Models.	Eunho Yang, Ambuj Tewari, Pradeep Ravikumar
2013	ISIT	On the difficulty of learning power law graphical models.	Rashish Tandon, Pradeep Ravikumar
2011	ICML	On the Use of Variational Inference for Learning Discrete Graphical Model.	Eunho Yang, Pradeep Ravikumar
2009	ALT	Error-Correcting Tournaments.	Alina Beygelzimer, John Langford, Pradeep Ravikumar
2008	ICML	Message-passing for graph-structured linear programs: proximal projections, convergence and rounding schemes.	Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwright
2006	ICML	Quadratic programming relaxations for metric labeling and Markov random field MAP estimation.	Pradeep Ravikumar, John D. Lafferty
2004	UAI	A Hierarchical Graphical Model for Record Linkage.	Pradeep Ravikumar, William W. Cohen
2004	UAI	Variational Chernoff Bounds for Graphical Models.	Pradeep Ravikumar, John D. Lafferty
2003	IJCAI	A Comparison of String Distance Metrics for Name-Matching Tasks.	William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg