Robert Nowak

AHA: Human-Assisted Out-of-Distribution Generalization and Detection NeurIPS 2024 An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models ACL 2024 Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning NeurIPS 2024 SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits AISTATS 2024 Algorithm Selection for Deep Active Learning with Imbalanced Datasets NeurIPS 2023 Multi-task Representation Learning for Pure Exploration in Bilinear Bandits NeurIPS 2023 Active Learning with Neural Networks: Insights from Nonparametric Statistics NeurIPS 2022 Chernoff Sampling for Active Testing and Extension to Active Regression AISTATS 2022 Efficient Active Learning with Abstention NeurIPS 2022 GALAXY: Graph-based Active Learning at the Extreme ICML 2022 Near Instance Optimal Model Selection for Pure Exploration Linear Bandits AISTATS 2022 Nearly Optimal Algorithms for Level Set Estimation AISTATS 2022 One for All: Simultaneous Metric and Preference Learning over Multiple Users NeurIPS 2022 Pareto Optimal Model Selection in Linear Bandits AISTATS 2022 Similarity Search for Efficient Active Learning and Search of Rare Concepts AAAI 2022 Training OOD Detectors in their Natural Habitats ICML 2022 Nearest neighbor search under uncertainty UAI 2021 Pure Exploration in Kernel and Neural Bandits NeurIPS 2021 Finding All ε-Good Arms in Stochastic Bandits NeurIPS 2020 Linear Bandits with Feature Feedback AAAI 2020 On Regret with Multiple Best Arms NeurIPS 2020 Robust Outlier Arm Identification ICML 2020 Bilinear Bandits with Low-rank Structure ICML 2019 Learning Nearest Neighbor Graphs from Noisy Distance Samples NeurIPS 2019 MaxGap Bandit: Adaptive Algorithms for Approximate Ranking NeurIPS 2019 Adaptive Sampling for Coarse Ranking AISTATS 2018 Teacher Improves Learning by Selecting a Training Subset AISTATS 2018 A KL-LUCB algorithm for Large-Scale Crowdsourcing NeurIPS 2017 Learning Low-Dimensional Metrics NeurIPS 2017 Random Consensus Robust PCA AISTATS 2017 Scalable Generalized Linear Bandits: Online Computation and Hashing NeurIPS 2017 Anytime Exploration for Multi-armed Bandits using Confidence Information ICML 2016 Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects AISTATS 2016 Representational Similarity Learning with Application to Brain Networks ICML 2016 The Information-Theoretic Requirements of Subspace Clustering with Missing Data ICML 2016 Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls AISTATS 2016 S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification COLT 2015 Sparse Dueling Bandits AISTATS 2015 Active Learning for Undirected Graphical Model Selection AISTATS 2014 lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits COLT 2014 Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract) IJCAI 2013 High-Rank Matrix Completion AISTATS 2012 Query Complexity of Derivative-Free Optimization NeurIPS 2012 Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012 Active Ranking using Pairwise Comparisons NeurIPS 2011 Detecting Weak but Hierarchically-Structured Patterns in Networks AISTATS 2010 Transduction with Matrix Completion: Three Birds with One Stone NeurIPS 2010 Noisy Generalized Binary Search NeurIPS 2009 Human Active Learning NeurIPS 2008 Learning Bigrams from Unigrams ACL 2008 Unlabeled data: Now it helps, now it doesn't NeurIPS 2008 Inferring Network Structure from Co-Occurrences NeurIPS 2006 Distilled sensing: selective sampling for sparse signal recovery AISTATS 2005 Multi-Manifold Semi-Supervised Learning AISTATS 2005