Shivani Agarwal

64 papers A* 24A 8B 2C 1Journal 17Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Consistent Multiclass Algorithms for Complex Metrics and Constraints. J. Mach. Learn. Res. Harikrishna Narasimhan, Harish G. Ramaswamy, Shiv Kumar Tavker, Drona Khurana, Praneeth Netrapalli, Shivani Agarwal
2024	A	`conf`	Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures. AISTATS Mingyuan Zhang, Shivani Agarwal
2024	J	`jnl`	Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures. CoRR Mingyuan Zhang, Shivani Agarwal
2022	J	`jnl`	Consistent Multiclass Algorithms for Complex Metrics and Constraints. CoRR Harikrishna Narasimhan, Harish G. Ramaswamy, Shiv Kumar Tavker, Drona Khurana, Praneeth Netrapalli, Shivani Agarwal
2021	A*	`conf`	Learning from Noisy Labels with No Change to the Training Process. ICML Mingyuan Zhang, Jane H. Lee, Shivani Agarwal
2021	B	`conf`	Stochastic Dueling Bandits with Adversarial Corruption. ALT Arpit Agarwal, Shivani Agarwal, Prathamesh Patil
2020	A*	`conf`	Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class. NeurIPS Mingyuan Zhang, Shivani Agarwal
2020	A*	`conf`	Choice Bandits. NeurIPS Arpit Agarwal, Nicholas Johnson, Shivani Agarwal
2020	A*	`conf`	Conference on Learning Theory 2020: Preface. COLT Jacob D. Abernethy, Shivani Agarwal
2020	A*	`ed.`	Conference on Learning Theory, COLT 2020, 9-12 July 2020, Virtual Event [Graz, Austria]. COLT Jacob D. Abernethy, Shivani Agarwal
2020	A*	`conf`	Convex Calibrated Surrogates for the Multi-Label F-Measure. ICML Mingyuan Zhang, Harish Guruprasad Ramaswamy, Shivani Agarwal
2020	J	`jnl`	Convex Calibrated Surrogates for the Multi-Label F-Measure. CoRR Mingyuan Zhang, Harish G. Ramaswamy, Shivani Agarwal
2020	A*	`conf`	Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions. ICML Arpit Agarwal, Shivani Agarwal, Sanjeev Khanna, Prathamesh Patil
2018	A*	`conf`	Accelerated Spectral Ranking. ICML Arpit Agarwal, Prathamesh Patil, Shivani Agarwal
2017	A*	`conf`	Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons. COLT Arpit Agarwal, Shivani Agarwal, Sepehr Assadi, Sanjeev Khanna
2017	A	`conf`	Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis. CIKM Qizhen Zhang, Tengyuan Ye, Meryem Essaidi, Shivani Agarwal, Vincent Liu, Boon Thau Loo
2017	J	`jnl`	Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve. Neural Comput. Harikrishna Narasimhan, Shivani Agarwal
2016	A*	`conf`	Automated Mechanism Design without Money via Machine Learning. IJCAI Harikrishna Narasimhan, Shivani Agarwal, David C. Parkes
2016	J	`jnl`	Convex Calibration Dimension for Multiclass Loss Matrices. J. Mach. Learn. Res. Harish G. Ramaswamy, Shivani Agarwal
2016	—	`conf`	Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions. NIPS Siddartha Y. Ramamohan, Arun Rajkumar, Shivani Agarwal
2016	A*	`conf`	On Ranking and Choice Models. IJCAI Shivani Agarwal
2016	A	`conf`	On the Computational Hardness of Manipulating Pairwise Voting Rules. AAMAS Rohit Vaish, Neeldhara Misra, Shivani Agarwal, Avrim Blum
2016	J	`jnl`	Support Vector Algorithms for Optimizing the Partial Area Under the ROC Curve. CoRR Harikrishna Narasimhan, Shivani Agarwal
2016	A*	`conf`	When can we rank well from comparisons of \(O(n\log(n))\) non-actively chosen pairs? COLT Arun Rajkumar, Shivani Agarwal
2015	A	`conf`	Bayes Optimal Feature Selection for Supervised Learning with General Performance Measures. UAI C. G. Saneem Ahmed, Harikrishna Narasimhan, Shivani Agarwal
2015	J	`jnl`	Consistent Algorithms for Multiclass Classification with a Reject Option. CoRR Harish G. Ramaswamy, Ambuj Tewari, Shivani Agarwal
2015	J	`jnl`	Consistent Classification Algorithms for Multi-class Non-Decomposable Performance Metrics. CoRR Harish G. Ramaswamy, Harikrishna Narasimhan, Shivani Agarwal
2015	A*	`conf`	Consistent Multiclass Algorithms for Complex Performance Measures. ICML Harikrishna Narasimhan, Harish G. Ramaswamy, Aadirupa Saha, Shivani Agarwal
2015	A*	`conf`	Convex Calibrated Surrogates for Hierarchical Classification. ICML Harish G. Ramaswamy, Ambuj Tewari, Shivani Agarwal
2015	A*	`conf`	On Consistent Surrogate Risk Minimization and Property Elicitation. COLT Arpit Agarwal, Shivani Agarwal
2015	A*	`conf`	Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top. ICML Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim, Shivani Agarwal
2014	A*	`conf`	A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data. ICML Arun Rajkumar, Shivani Agarwal
2014	J	`jnl`	Convex Calibration Dimension for Multiclass Loss Matrices. CoRR Harish G. Ramaswamy, Shivani Agarwal
2014	A*	`conf`	GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare. ICML Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan, Shivani Agarwal
2014	C	`conf`	Learning Score Systems for Patient Mortality Prediction in Intensive Care Units via Orthogonal Matching Pursuit. ICMLA Aadirupa Saha, Chandrahas Dewangan, Harikrishna Narasimhan, Sriram Sampath, Shivani Agarwal
2014	A*	`conf`	On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems. COLT Harish G. Ramaswamy, Balaji Srinivasan Babu, Shivani Agarwal, Robert C. Williamson
2014	—	`conf`	On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures. NIPS Harikrishna Narasimhan, Rohit Vaish, Shivani Agarwal
2014	—	`conf`	Online Decision-Making in General Combinatorial Spaces. NIPS Arun Rajkumar, Shivani Agarwal
2014	J	`jnl`	Surrogate regret bounds for bipartite ranking via strongly proper losses. J. Mach. Learn. Res. Shivani Agarwal
2013	—	`conf`	A Structural SVM Based Approach for Optimizing Partial AUC. ICML (1) Harikrishna Narasimhan, Shivani Agarwal
2013	—	`conf`	Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses. NIPS Harish G. Ramaswamy, Shivani Agarwal, Ambuj Tewari
2013	—	`conf`	On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation. NIPS Harikrishna Narasimhan, Shivani Agarwal
2013	—	`conf`	On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance. ICML (3) Aditya Krishna Menon, Harikrishna Narasimhan, Shivani Agarwal, Sanjay Chawla
2013	A*	`conf`	SVM KDD Harikrishna Narasimhan, Shivani Agarwal
2013	A*	`conf`	Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses. COLT Shivani Agarwal
2012	A	`conf`	A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification. AISTATS Arun Rajkumar, Shivani Agarwal
2012	—	`conf`	Classification Calibration Dimension for General Multiclass Losses. NIPS Harish G. Ramaswamy, Shivani Agarwal
2012	J	`jnl`	Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses CoRR Shivani Agarwal
2011	A	`conf`	The Infinite Push: A New Support Vector Ranking Algorithm that Directly Optimizes Accuracy at the Absolute Top of the List. SDM Shivani Agarwal
2010	J	`jnl`	Learning to rank on graphs. Mach. Learn. Shivani Agarwal
2010	A	`conf`	Maximum Margin Ranking Algorithms for Information Retrieval. ECIR Shivani Agarwal, Michael Collins
2010	J	`jnl`	Ranking Chemical Structures for Drug Discovery: A New Machine Learning Approach. J. Chem. Inf. Model. Shivani Agarwal, Deepak Dugar, Shiladitya Sengupta
2009	J	`jnl`	Generalization Bounds for Ranking Algorithms via Algorithmic Stability. J. Mach. Learn. Res. Shivani Agarwal, Partha Niyogi
2008	B	`conf`	Generalization Bounds for Some Ordinal Regression Algorithms. ALT Shivani Agarwal
2006	A*	`conf`	Ranking on graph data. ICML Shivani Agarwal
2005	—	`—`	A Study of the Bipartite Ranking Problem in Machine Learning Shivani Agarwal
2005	A	`conf`	A Uniform Convergence Bound for the Area Under the ROC Curve. AISTATS Shivani Agarwal, Sariel Har-Peled, Dan Roth
2005	J	`jnl`	Generalization Bounds for the Area Under the ROC Curve. J. Mach. Learn. Res. Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-Peled, Dan Roth
2005	A*	`conf`	Learnability of Bipartite Ranking Functions. COLT Shivani Agarwal, Dan Roth
2005	A*	`conf`	Stability and Generalization of Bipartite Ranking Algorithms. COLT Shivani Agarwal, Partha Niyogi
2004	—	`conf`	A Large Deviation Bound for the Area Under the ROC Curve. NIPS Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth
2004	J	`jnl`	Learning to Detect Objects in Images via a Sparse, Part-Based Representation. IEEE Trans. Pattern Anal. Mach. Intell. Shivani Agarwal, Aatif Awan, Dan Roth
2002	—	`conf`	Fusion of Global and Local Information for Object Detection. ICPR (3) Ashutosh Garg, Shivani Agarwal, Thomas S. Huang
2002	—	`conf`	Learning a Sparse Representation for Object Detection. ECCV (4) Shivani Agarwal, Dan Roth