Narasimhan, Harikrishna

42 publications

ICLR 2025 Better Autoregressive Regression with LLMs via Regression-Aware Fine-Tuning Michal Lukasik, Zhao Meng, Harikrishna Narasimhan, Yin-Wen Chang, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar
ICML 2025 Bipartite Ranking from Multiple Labels: On Loss Versus Label Aggregation Michal Lukasik, Lin Chen, Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Felix X. Yu, Sashank J. Reddi, Gang Fu, Mohammadhossein Bateni, Sanjiv Kumar
ICLR 2025 Faster Cascades via Speculative Decoding Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar
ICLRW 2025 Universal LLM Routing with Correctness-Based Representation Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Jeevesh Juneja, Zifeng Wang, Chen-Yu Lee, Pradeep Shenoy, Rina Panigrahy, Aditya Krishna Menon, Sanjiv Kumar
JMLR 2024 Consistent Multiclass Algorithms for Complex Metrics and Constraints Harikrishna Narasimhan, Harish G. Ramaswamy, Shiv Kumar Tavker, Drona Khurana, Praneeth Netrapalli, Shivani Agarwal
ICLR 2024 Language Model Cascades: Token-Level Uncertainty and Beyond Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
ICLR 2024 Learning to Reject Meets Long-Tail Learning Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Neha Gupta, Sanjiv Kumar
ICLR 2024 Plugin Estimators for Selective Classification with Out-of-Distribution Detection Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Sanjiv Kumar
ICLR 2023 Distributionally Robust Post-Hoc Classifiers Under Prior Shifts Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar
UAI 2023 Robust Distillation for Worst-Class Performance: On the Interplay Between Teacher and Student Objectives Serena Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon
NeurIPS 2023 When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum, Neha Gupta, Aditya K Menon, Harikrishna Narasimhan, Ankit Rawat, Sanjiv Kumar
ICLR 2022 Churn Reduction via Distillation Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh
NeurIPS 2022 Post-Hoc Estimators for Learning to Defer to an Expert Harikrishna Narasimhan, Wittawat Jitkrittum, Aditya K Menon, Ankit Rawat, Sanjiv Kumar
UAI 2022 Quadratic Metric Elicitation for Fairness and Beyond Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo
ICML 2021 Implicit Rate-Constrained Optimization of Non-Decomposable Objectives Abhishek Kumar, Harikrishna Narasimhan, Andrew Cotter
ICML 2021 Optimizing Black-Box Metrics with Iterative Example Weighting Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Mahdi Milani Fard, Sanmi Koyejo
NeurIPS 2021 Training Over-Parameterized Models with Non-Decomposable Objectives Harikrishna Narasimhan, Aditya K Menon
NeurIPS 2020 Approximate Heavily-Constrained Learning with Lagrange Multiplier Models Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou, Serena Wang, Wenshuo Guo
NeurIPS 2020 Consistent Plug-in Classifiers for Complex Objectives and Constraints Shiv Kumar Tavker, Harish Guruprasad Ramaswamy, Harikrishna Narasimhan
NeurIPS 2020 Fair Performance Metric Elicitation Gaurush Hiranandani, Harikrishna Narasimhan, Sanmi Koyejo
ICML 2020 Optimizing Black-Box Metrics with Adaptive Surrogates Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya Gupta
AAAI 2020 Pairwise Fairness for Ranking and Regression Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang
NeurIPS 2020 Robust Optimization for Fairness with Noisy Protected Groups Serena Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya Gupta, Michael I. Jordan
ICML 2019 Metric-Optimized Example Weights Sen Zhao, Mahdi Milani Fard, Harikrishna Narasimhan, Maya Gupta
NeurIPS 2019 On Making Stochastic Classifiers Deterministic Andrew Cotter, Maya Gupta, Harikrishna Narasimhan
ICML 2019 Optimal Auctions Through Deep Learning Paul Duetting, Zhe Feng, Harikrishna Narasimhan, David Parkes, Sai Srivatsa Ravindranath
NeurIPS 2019 Optimizing Generalized Rate Metrics with Three Players Harikrishna Narasimhan, Andrew Cotter, Maya Gupta
IJCAI 2018 Deep Learning for Multi-Facility Location Mechanism Design Noah Golowich, Harikrishna Narasimhan, David C. Parkes
AISTATS 2018 Learning with Complex Loss Functions and Constraints Harikrishna Narasimhan
UAI 2016 A General Statistical Framework for Designing Strategy-Proof Assignment Mechanisms Harikrishna Narasimhan, David C. Parkes
IJCAI 2016 Automated Mechanism Design Without Money via Machine Learning Harikrishna Narasimhan, Shivani Agarwal, David C. Parkes
UAI 2015 Bayes Optimal Feature Selection for Supervised Learning with General Performance Measures C. G. Saneem Ahmed, Harikrishna Narasimhan, Shivani Agarwal
ICML 2015 Consistent Multiclass Algorithms for Complex Performance Measures Harikrishna Narasimhan, Harish Ramaswamy, Aadirupa Saha, Shivani Agarwal
NeurIPS 2015 Learnability of Influence in Networks Harikrishna Narasimhan, David C. Parkes, Yaron Singer
ICML 2015 Optimizing Non-Decomposable Performance Measures: A Tale of Two Classes Harikrishna Narasimhan, Purushottam Kar, Prateek Jain
ICML 2015 Surrogate Functions for Maximizing Precision at the Top Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
ICML 2014 GEV-Canonical Regression for Accurate Binary Class Probability Estimation When One Class Is Rare Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan, Shivani Agarwal
NeurIPS 2014 On the Statistical Consistency of Plug-in Classifiers for Non-Decomposable Performance Measures Harikrishna Narasimhan, Rohit Vaish, Shivani Agarwal
NeurIPS 2014 Online and Stochastic Gradient Methods for Non-Decomposable Loss Functions Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
ICML 2013 A Structural SVM Based Approach for Optimizing Partial AUC Harikrishna Narasimhan, Shivani Agarwal
NeurIPS 2013 On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation Harikrishna Narasimhan, Shivani Agarwal
ICML 2013 On the Statistical Consistency of Algorithms for Binary Classification Under Class Imbalance Aditya Menon, Harikrishna Narasimhan, Shivani Agarwal, Sanjay Chawla