Publications (42)
Sketching Sparse Matrices
Gautam Dasarathy, Parikshit Shah, Badri Narayan Bhaskar +1
On the Limits of Sequential Testing in High Dimensions
Matthew Malloy, Robert Nowak
Robust Spatio-Temporal Signal Recovery from Noisy Counts in Social Media
Jun-Ming Xu, Aniruddha Bhargava, Robert Nowak +1
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis
Nikhil Rao, Christopher Cox, Robert Nowak +1
Sparse Dueling Bandits
Kevin Jamieson, Sumeet Katariya, Atul Deshpande +1
Scalable Sparse Subspace Clustering via Ordered Weighted $\ell_1$ Regression
Urvashi Oswal, Robert Nowak
Learning the Interference Graph of a Wireless Network
Jing Yang, Stark Draper, Robert Nowak
High-Rank Matrix Completion and Subspace Clustering with Missing Data
Brian Eriksson, Laura Balzano, Robert Nowak
Classification with Sparse Overlapping Groups
Nikhil Rao, Robert Nowak, Christopher Cox +1
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation
Jarvis Haupt, Rui Castro, Robert Nowak
Learning Low-Dimensional Metrics
Lalit Jain, Blake Mason, Robert Nowak
Linking de novo assembly results with long DNA reads by dnaasm-link application
Wiktor KuÅmirek, Wiktor Franus, Robert Nowak
Coalescent-based species tree estimation: a stochastic Farris transform
Gautam Dasarathy, Elchanan Mossel, Robert Nowak +1
Network Inference from Co-Occurrences
Michael Rabbat, Mario Figueiredo, Robert Nowak
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding
Lalit Jain, Kevin Jamieson, Robert Nowak
Scalable Generalized Linear Bandits: Online Computation and Hashing
Kwang-Sung Jun, Aniruddha Bhargava, Robert Nowak +1
S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification
Gautam Dasarathy, Robert Nowak, Xiaojin Zhu
Learning Nearest Neighbor Graphs from Noisy Distance Samples
Blake Mason, Ardhendu Tripathy, Robert Nowak
Tight Measurement Bounds for Exact Recovery of Structured Sparse Signals
Nikhil Rao, Benjamin Recht, Robert Nowak
On Learning High Dimensional Structured Single Index Models
Nikhil Rao, Ravi Ganti, Laura Balzano +2
lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits
Kevin Jamieson, Matthew Malloy, Robert Nowak +1
Should Adversarial Attacks Use Pixel p-Norm?
Ayon Sen, Xiaojin Zhu, Liam Marshall +1
Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method
Gautam Dasarathy, Robert Nowak, Sebastien Roch
Graph-Based Active Learning: A New Look at Expected Error Minimization
Kwang-Sung Jun, Robert Nowak
Adaptive Sampling for Coarse Ranking
Sumeet Katariya, Lalit Jain, Nandana Sengupta +2
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking
Sumeet Katariya, Ardhendu Tripathy, Robert Nowak
Learning Single Index Models in High Dimensions
Ravi Ganti, Nikhil Rao, Rebecca M. Willett +1
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities
Brian Eriksson, Gautam Dasarathy, Aarti Singh +1
Linear Bandits with Feature Feedback
Urvashi Oswal, Aniruddha Bhargava, Robert Nowak
Bilinear Bandits with Low-rank Structure
Kwang-Sung Jun, Rebecca Willett, Stephen Wright +1
A Junction Tree Framework for Undirected Graphical Model Selection
Divyanshu Vats, Robert Nowak
Adaptive Hausdorff estimation of density level sets
Aarti Singh, Clayton Scott, Robert Nowak
Sequential Analysis in High Dimensional Multiple Testing and Sparse Recovery
Matthew Malloy, Robert Nowak
A KL-LUCB Bandit Algorithm for Large-Scale Crowdsourcing
Bob Mankoff, Robert Nowak, Ervin Tanczos
On Finding the Largest Mean Among Many
Kevin Jamieson, Matthew Malloy, Robert Nowak +1
Active Algorithms For Preference Learning Problems with Multiple Populations
Aniruddha Bhargava, Ravi Ganti, Robert Nowak
Sequential Testing for Sparse Recovery
Matthew L. Malloy, Robert Nowak
High-Dimensional Matched Subspace Detection When Data are Missing
Laura Balzano, Bejamin Recht, Robert Nowak
Signal Recovery in Unions of Subspaces with Applications to Compressive Imaging
Nikhil Rao, Benjamin Recht, Robert Nowak
Teacher Improves Learning by Selecting a Training Subset
Yuzhe Ma, Robert Nowak, Philippe Rigollet +2
Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities
Jiantao Jiao, Lin Zhang, Robert Nowak
Causal Network Inference via Group Sparse Regularization
Andrew Bolstad, Barry Van Veen, Robert Nowak