Shivani Agarwal

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 28

Top Topics

Scoring Function

Binary Classification

Pairwise Comparisons

Top Venues

Publications

Mingyuan Zhang, Shivani Agarwal
Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures. CoRR (2024)
Harikrishna Narasimhan, Harish G. Ramaswamy, Shiv Kumar Tavker, Drona Khurana, Praneeth Netrapalli, Shivani Agarwal
Consistent Multiclass Algorithms for Complex Metrics and Constraints. CoRR (2022)
Arpit Agarwal, Shivani Agarwal, Prathamesh Patil
Stochastic Dueling Bandits with Adversarial Corruption. ALT (2021)
Mingyuan Zhang, Jane Lee, Shivani Agarwal
Learning from Noisy Labels with No Change to the Training Process. ICML (2021)
Jacob D. Abernethy, Shivani Agarwal
Conference on Learning Theory 2020: Preface. COLT (2020)
Mingyuan Zhang, Harish Guruprasad Ramaswamy, Shivani Agarwal
Convex Calibrated Surrogates for the Multi-Label F-Measure. ICML (2020)
Arpit Agarwal, Nicholas Johnson, Shivani Agarwal
Choice Bandits. NeurIPS (2020)
Mingyuan Zhang, Shivani Agarwal
Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class. NeurIPS (2020)
Arpit Agarwal, Shivani Agarwal, Sanjeev Khanna, Prathamesh Patil
Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions. ICML (2020)
Mingyuan Zhang, Harish G. Ramaswamy, Shivani Agarwal
Convex Calibrated Surrogates for the Multi-Label F-Measure. CoRR (2020)
Arpit Agarwal, Prathamesh Patil, Shivani Agarwal
Accelerated Spectral Ranking. ICML (2018)
Arpit Agarwal, Shivani Agarwal, Sepehr Assadi, Sanjeev Khanna
Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons. COLT (2017)
Qizhen Zhang, Tengyuan Ye, Meryem Essaidi, Shivani Agarwal, Vincent Liu, Boon Thau Loo
Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis. CIKM (2017)
Harikrishna Narasimhan, Shivani Agarwal
Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve. Neural Comput. 29 (7) (2017)
Harikrishna Narasimhan, Shivani Agarwal
Support Vector Algorithms for Optimizing the Partial Area Under the ROC Curve. CoRR (2016)
Arun Rajkumar, Shivani Agarwal
When can we rank well from comparisons of \(O(n\log(n))\) non-actively chosen pairs? COLT (2016)
Shivani Agarwal
On Ranking and Choice Models. IJCAI (2016)
Rohit Vaish, Neeldhara Misra, Shivani Agarwal, Avrim Blum
On the Computational Hardness of Manipulating Pairwise Voting Rules. AAMAS (2016)
Siddartha Y. Ramamohan, Arun Rajkumar, Shivani Agarwal
Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions. NIPS (2016)
Harikrishna Narasimhan, Shivani Agarwal, David C. Parkes
Automated Mechanism Design without Money via Machine Learning. IJCAI (2016)
Harish G. Ramaswamy, Shivani Agarwal
Convex Calibration Dimension for Multiclass Loss Matrices. J. Mach. Learn. Res. 17 (2016)
Arpit Agarwal, Shivani Agarwal
On Consistent Surrogate Risk Minimization and Property Elicitation. COLT (2015)
Harish G. Ramaswamy, Harikrishna Narasimhan, Shivani Agarwal
Consistent Classification Algorithms for Multi-class Non-Decomposable Performance Metrics. CoRR (2015)
Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim, Shivani Agarwal
Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top. ICML (2015)
C. G. Saneem Ahmed, Harikrishna Narasimhan, Shivani Agarwal
Bayes Optimal Feature Selection for Supervised Learning with General Performance Measures. UAI (2015)
Harish G. Ramaswamy, Ambuj Tewari, Shivani Agarwal
Consistent Algorithms for Multiclass Classification with a Reject Option. CoRR (2015)
Harish G. Ramaswamy, Ambuj Tewari, Shivani Agarwal
Convex Calibrated Surrogates for Hierarchical Classification. ICML (2015)
Harikrishna Narasimhan, Harish G. Ramaswamy, Aadirupa Saha, Shivani Agarwal
Consistent Multiclass Algorithms for Complex Performance Measures. ICML (2015)
Harish G. Ramaswamy, Balaji Srinivasan Babu, Shivani Agarwal, Robert C. Williamson
On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems. COLT (2014)
Arun Rajkumar, Shivani Agarwal
Online Decision-Making in General Combinatorial Spaces. NIPS (2014)
Harish G. Ramaswamy, Shivani Agarwal
Convex Calibration Dimension for Multiclass Loss Matrices. CoRR (2014)
Harikrishna Narasimhan, Rohit Vaish, Shivani Agarwal
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures. NIPS (2014)
Arun Rajkumar, Shivani Agarwal
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data. ICML (2014)
Aadirupa Saha, Chandrahas Dewangan, Harikrishna Narasimhan, Sriram Sampath, Shivani Agarwal
Learning Score Systems for Patient Mortality Prediction in Intensive Care Units via Orthogonal Matching Pursuit. ICMLA (2014)
Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan, Shivani Agarwal
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare. ICML (2014)
Shivani Agarwal
Surrogate regret bounds for bipartite ranking via strongly proper losses. J. Mach. Learn. Res. 15 (1) (2014)
Harikrishna Narasimhan, Shivani Agarwal
: a new support vector method for optimizing partial AUC based on a tight convex upper bound. KDD (2013)
Harikrishna Narasimhan, Shivani Agarwal
A Structural SVM Based Approach for Optimizing Partial AUC. ICML (1) (2013)
Harikrishna Narasimhan, Shivani Agarwal
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation. NIPS (2013)
Harish G. Ramaswamy, Shivani Agarwal, Ambuj Tewari
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses. NIPS (2013)
Shivani Agarwal
Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses. COLT (2013)
Aditya Krishna Menon, Harikrishna Narasimhan, Shivani Agarwal, Sanjay Chawla
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance. ICML (3) (2013)
Arun Rajkumar, Shivani Agarwal
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification. AISTATS (2012)
Shivani Agarwal
Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses CoRR (2012)
Harish G. Ramaswamy, Shivani Agarwal
Classification Calibration Dimension for General Multiclass Losses. NIPS (2012)
Shivani Agarwal
The Infinite Push: A New Support Vector Ranking Algorithm that Directly Optimizes Accuracy at the Absolute Top of the List. SDM (2011)
Shivani Agarwal, Deepak Dugar, Shiladitya Sengupta
Ranking Chemical Structures for Drug Discovery: A New Machine Learning Approach. J. Chem. Inf. Model. 50 (5) (2010)
Shivani Agarwal, Michael Collins
Maximum Margin Ranking Algorithms for Information Retrieval. ECIR (2010)
Shivani Agarwal
Learning to rank on graphs. Mach. Learn. 81 (3) (2010)
Shivani Agarwal, Partha Niyogi
Generalization Bounds for Ranking Algorithms via Algorithmic Stability. J. Mach. Learn. Res. 10 (2009)
Shivani Agarwal
Generalization Bounds for Some Ordinal Regression Algorithms. ALT (2008)
Shivani Agarwal
Ranking on graph data. ICML (2006)
Shivani Agarwal, Partha Niyogi
Stability and Generalization of Bipartite Ranking Algorithms. COLT (2005)
Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-Peled, Dan Roth
Generalization Bounds for the Area Under the ROC Curve. J. Mach. Learn. Res. 6 (2005)
Shivani Agarwal, Dan Roth
Learnability of Bipartite Ranking Functions. COLT (2005)
Shivani Agarwal, Sariel Har-Peled, Dan Roth
A Uniform Convergence Bound for the Area Under the ROC Curve. AISTATS (2005)
Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth
A Large Deviation Bound for the Area Under the ROC Curve. NIPS (2004)
Shivani Agarwal, Aatif Awan, Dan Roth
Learning to Detect Objects in Images via a Sparse, Part-Based Representation. IEEE Trans. Pattern Anal. Mach. Intell. 26 (11) (2004)
Shivani Agarwal, Dan Roth
Learning a Sparse Representation for Object Detection. ECCV (4) (2002)
Ashutosh Garg, Shivani Agarwal, Thomas S. Huang
Fusion of Global and Local Information for Object Detection. ICPR (3) (2002)