Robert Nowak

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