Nowak, Robert D

38 publications

TMLR 2025 Deep Active Learning in the Open World Tian Xie, Jifan Zhang, Haoyue Bai, Robert D Nowak

NeurIPS 2025 Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks Julia B Nakhleh, Robert D Nowak

ICML 2025 Improved Algorithm for Deep Active Learning Under Imbalance via Optimal Separation Shyam Nuggehalli, Jifan Zhang, Lalit K Jain, Robert D Nowak

UAI 2025 Metric Learning in an RKHS Gokcan Tatli, Yi Chen, Blake Mason, Robert D Nowak, Ramya Korlakai Vinayak

TMLR 2025 Unifying Generative and Dense Retrieval for Sequential Recommendation Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Robert D Nowak, Xiaoli Gao, Hamid Eghbalzadeh

NeurIPS 2024 A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning Julia Nakhleh, Joseph Shenouda, Robert D. Nowak

ICMLW 2024 Cognitive Flexibility of Large Language Models Sean M Kennedy, Robert D Nowak

DMLR 2024 LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Jeff Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D Nowak

ICLR 2024 Looped Transformers Are Better at Learning Learning Algorithms Liu Yang, Kangwook Lee, Robert D Nowak, Dimitris Papailiopoulos

ICLR 2024 On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D Nowak

ICML 2024 ReLUs Are Sufficient for Learning Implicit Neural Representations Joseph Shenouda, Yamin Zhou, Robert D Nowak

ICML 2024 SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP Subhojyoti Mukherjee, Josiah P. Hanna, Robert D Nowak

JMLR 2024 Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression Joseph Shenouda, Rahul Parhi, Kangwook Lee, Robert D. Nowak

ICML 2023 A Fully First-Order Method for Stochastic Bilevel Optimization Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D Nowak

ICML 2023 Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D Nowak, Yixuan Li

NeurIPSW 2023 LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Yinglun Zhu, Stephen Mussmann, Simon Shaolei Du, Jeff Bilmes, Kevin Jamieson, Robert D Nowak

ICMLW 2023 Looped Transformers Are Better at Learning Learning Algorithms Liu Yang, Kangwook Lee, Robert D Nowak, Dimitris Papailiopoulos

ICMLW 2023 SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D Nowak

NeurIPSW 2022 A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets Liu Yang, Jifan Zhang, Joseph Shenouda, Dimitris Papailiopoulos, Kangwook Lee, Robert D Nowak

UAI 2022 ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling Subhojyoti Mukherjee, Josiah P. Hanna, Robert D Nowak

AAAI 2022 Similarity Search for Efficient Active Learning and Search of Rare Concepts Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz

JMLR 2021 Banach Space Representer Theorems for Neural Networks and Ridge Splines Rahul Parhi, Robert D. Nowak

AISTATS 2017 Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications Aniruddha Bhargava, Ravi Ganti, Robert D. Nowak

ICML 2017 Algebraic Variety Models for High-Rank Matrix Completion Greg Ongie, Rebecca Willett, Robert D. Nowak, Laura Balzano

AAAI 2017 On Learning High Dimensional Structured Single Index Models Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak

AISTATS 2017 Random Consensus Robust PCA Daniel L. Pimentel-Alarcón, Robert D. Nowak

AISTATS 2016 Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects Mário A. T. Figueiredo, Robert D. Nowak

AISTATS 2016 Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls Kwang-Sung Jun, Kevin G. Jamieson, Robert D. Nowak, Xiaojin Zhu

COLT 2015 S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification Gautam Dasarathy, Robert D. Nowak, Xiaojin Zhu

AISTATS 2015 Sparse Dueling Bandits Kevin G. Jamieson, Sumeet Katariya, Atul Deshpande, Robert D. Nowak

JMLR 2014 A Junction Tree Framework for Undirected Graphical Model Selection Divyanshu Vats, Robert D. Nowak

AISTATS 2014 Active Learning for Undirected Graphical Model Selection Divyanshu Vats, Robert D. Nowak, Richard G. Baraniuk

COLT 2014 Lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits Kevin G. Jamieson, Matthew Malloy, Robert D. Nowak, Sébastien Bubeck

IJCAI 2013 Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract) Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu

ECML-PKDD 2012 Socioscope: Spatio-Temporal Signal Recovery from Social Media Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu

COLT 2008 Adaptive Hausdorff Estimation of Density Level Sets Aarti Singh, Robert D. Nowak, Clayton D. Scott

COLT 2007 Minimax Bounds for Active Learning Rui M. Castro, Robert D. Nowak

JMLR 2006 Learning Minimum Volume Sets Clayton D. Scott, Robert D. Nowak