Shivani Agarwal

Consistent Multiclass Algorithms for Complex Metrics and Constraints JMLR 2024 Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures AISTATS 2024 Learning from Noisy Labels with No Change to the Training Process ICML 2021 Stochastic Dueling Bandits with Adversarial Corruption ALT 2021 Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class NeurIPS 2020 Choice Bandits NeurIPS 2020 Conference on Learning Theory 2020: Preface COLT 2020 Convex Calibrated Surrogates for the Multi-Label F-Measure ICML 2020 Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions ICML 2020 Accelerated Spectral Ranking ICML 2018 Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons COLT 2017 Automated Mechanism Design without Money via Machine Learning IJCAI 2016 Convex Calibration Dimension for Multiclass Loss Matrices JMLR 2016 Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions NeurIPS 2016 On Ranking and Choice Models IJCAI 2016 When can we rank well from comparisons of O(n\log(n)) non-actively chosen pairs? COLT 2016 Consistent Multiclass Algorithms for Complex Performance Measures ICML 2015 Convex Calibrated Surrogates for Hierarchical Classification ICML 2015 On Consistent Surrogate Risk Minimization and Property Elicitation COLT 2015 Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top ICML 2015 A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014 GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare ICML 2014 Online Decision-Making in General Combinatorial Spaces NeurIPS 2014 On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems COLT 2014 On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures NeurIPS 2014 Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses JMLR 2014 A Structural SVM Based Approach for Optimizing Partial AUC ICML 2013 Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NeurIPS 2013 On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation NeurIPS 2013 On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance ICML 2013 Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses COLT 2013 A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012 Classification Calibration Dimension for General Multiclass Losses NeurIPS 2012 Generalization Bounds for Ranking Algorithms via Algorithmic Stability JMLR 2009 Generalization Bounds for the Area Under the ROC Curve JMLR 2005