← Authors

Robert Nowak

52 papers · 2006–2024 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (18) πŸ—ΊοΈ Taxonomy Completionist (24) 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (22) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (22) πŸ† Keyword Champion πŸ”₯ Unstoppable (17) πŸš€ Conference Pioneer πŸ’Ž Century Club (52) πŸ—ƒοΈ Keyword Collector (93) ⚑ Prolific Year (10) πŸ“ˆ Trend Setter

Conferences

NIPS (22) AISTATS (15) ICML (7) AAAI (2) ACL (2) COLT (2) IJCAI (1) UAI (1)

Top co-authors

Yinglun Zhu (8) Xiaojin Zhu (8) Kevin Jamieson (6) Blake Mason (6) Lalit Jain (5) Jifan Zhang (5) Ardhendu Tripathy (4) Sumeet Katariya (4) Julian Katz-Samuels (4) Subhojyoti Mukherjee (4)

Keywords

active learning (15) multi-armed bandit (11) sample complexity (11) regret bound (6) experimental design (5) pure exploration (5) linear bandit (4) online learning (4) matrix completion (3) low-rank matrix (3) neural network (3) metric learning (3) model selection (3) upper confidence bound (3) query complexity (3) label complexity (2) query selection (2) semi-supervised learning (2) stochastic optimization (2) hypothesis testing (2)

Papers

Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning NIPS 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection NIPS 2024
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits AISTATS 2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models ACL 2024
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits NIPS 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets NIPS 2023
Nearly Optimal Algorithms for Level Set Estimation AISTATS 2022
Similarity Search for Efficient Active Learning and Search of Rare Concepts AAAI 2022
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits AISTATS 2022
One for All: Simultaneous Metric and Preference Learning over Multiple Users NIPS 2022
Active Learning with Neural Networks: Insights from Nonparametric Statistics NIPS 2022
Efficient Active Learning with Abstention NIPS 2022
GALAXY: Graph-based Active Learning at the Extreme ICML 2022
Training OOD Detectors in their Natural Habitats ICML 2022
Pareto Optimal Model Selection in Linear Bandits AISTATS 2022
Chernoff Sampling for Active Testing and Extension to Active Regression AISTATS 2022
Nearest neighbor search under uncertainty UAI 2021
Pure Exploration in Kernel and Neural Bandits NIPS 2021
Linear Bandits with Feature Feedback AAAI 2020
Finding All $\epsilon$-Good Arms in Stochastic Bandits NIPS 2020
Robust Outlier Arm Identification ICML 2020
On Regret with Multiple Best Arms NIPS 2020
Learning Nearest Neighbor Graphs from Noisy Distance Samples NIPS 2019
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking NIPS 2019
Bilinear Bandits with Low-rank Structure ICML 2019
Teacher Improves Learning by Selecting a Training Subset AISTATS 2018
Adaptive Sampling for Coarse Ranking AISTATS 2018
A KL-LUCB algorithm for Large-Scale Crowdsourcing NIPS 2017
Random Consensus Robust PCA AISTATS 2017
Learning Low-Dimensional Metrics NIPS 2017
Scalable Generalized Linear Bandits: Online Computation and Hashing NIPS 2017
Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects AISTATS 2016
Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls AISTATS 2016
The Information-Theoretic Requirements of Subspace Clustering with Missing Data ICML 2016
Anytime Exploration for Multi-armed Bandits using Confidence Information ICML 2016
Representational Similarity Learning with Application to Brain Networks ICML 2016
Sparse Dueling Bandits AISTATS 2015
S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification COLT 2015
lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits COLT 2014
Active Learning for Undirected Graphical Model Selection AISTATS 2014
Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract) IJCAI 2013
Query Complexity of Derivative-Free Optimization NIPS 2012
Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012
High-Rank Matrix Completion AISTATS 2012
Active Ranking using Pairwise Comparisons NIPS 2011
Transduction with Matrix Completion: Three Birds with One Stone NIPS 2010
Detecting Weak but Hierarchically-Structured Patterns in Networks AISTATS 2010
Noisy Generalized Binary Search NIPS 2009
Unlabeled data: Now it helps, now it doesn't NIPS 2008
Learning Bigrams from Unigrams ACL 2008
Human Active Learning NIPS 2008
Inferring Network Structure from Co-Occurrences NIPS 2006