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Shivani Agarwal

35 papers · 2005–2024 · 7 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (19) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (5) 🐺 Lone Wolf (3) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (3) πŸ”₯ Unstoppable (7) ❓ The Questioner πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (76) πŸ’Ž Century Club (35) πŸ“ˆ Trend Setter

Conferences

ICML (11) NIPS (8) COLT (6) JMLR (5) AISTATS (2) IJCAI (2) ALT (1)

Top co-authors

Harikrishna Narasimhan (8) Arpit Agarwal (7) Arun Rajkumar (6) Harish G. Ramaswamy (5) Mingyuan Zhang (4) Prathamesh Patil (3) Ambuj Tewari (2) Harish Ramaswamy (2) Sanjeev Khanna (2) Shiv Kumar Tavker (1)

Keywords

multiclass classification (10) surrogate loss (7) regret bound (7) pairwise comparison (5) convex surrogate (5) bradley-terry-luce model (4) calibrated surrogate (4) bipartite ranking (4) statistical consistency (3) rank aggregation (3) dueling bandit (3) bayes optimal classifier (3) roc curve (3) support vector machine (2) class probability estimation (2) generalization bound (2) confusion matrix (2) binary classification (2) bayes consistency (2) sample complexity (2)

Papers

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
Convex Calibrated Surrogates for the Multi-Label F-Measure ICML 2020
Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class NIPS 2020
Choice Bandits NIPS 2020
Conference on Learning Theory 2020: Preface COLT 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
On Ranking and Choice Models IJCAI 2016
Automated Mechanism Design without Money via Machine Learning IJCAI 2016
When can we rank well from comparisons of O(n\log(n)) non-actively chosen pairs? COLT 2016
Convex Calibration Dimension for Multiclass Loss Matrices JMLR 2016
Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions NIPS 2016
Consistent Multiclass Algorithms for Complex Performance Measures ICML 2015
On Consistent Surrogate Risk Minimization and Property Elicitation COLT 2015
Convex Calibrated Surrogates for Hierarchical Classification ICML 2015
Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top ICML 2015
Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses JMLR 2014
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures NIPS 2014
On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems COLT 2014
Online Decision-Making in General Combinatorial Spaces NIPS 2014
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
A Structural SVM Based Approach for Optimizing Partial AUC ICML 2013
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation NIPS 2013
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NIPS 2013
Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses COLT 2013
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance ICML 2013
Classification Calibration Dimension for General Multiclass Losses NIPS 2012
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012
Generalization Bounds for Ranking Algorithms via Algorithmic Stability JMLR 2009
Generalization Bounds for the Area Under the ROC Curve JMLR 2005