Harikrishna Narasimhan

86 papers A* 32A 6C 3Journal 34Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Better autoregressive regression with LLMs via regression-aware fine-tuning. ICLR Michal Lukasik, Zhao Meng, Harikrishna Narasimhan, Yin-Wen Chang, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar
2025	A*	`conf`	Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation. ICML Michal Lukasik, Lin Chen, Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Felix X. Yu, Sashank J. Reddi, Gang Fu, MohammadHossein Bateni, Sanjiv Kumar
2025	J	`jnl`	Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation. CoRR Michal Lukasik, Lin Chen, Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Felix X. Yu, Sashank J. Reddi, Gang Fu, MohammadHossein Bateni, Sanjiv Kumar
2025	A*	`conf`	Faster Cascades via Speculative Decoding. ICLR Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar
2025	J	`jnl`	Universal Model Routing for Efficient LLM Inference. CoRR Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Jeevesh Juneja, Zifeng Wang, Chen-Yu Lee, Pradeep Shenoy, Rina Panigrahy, Aditya Krishna Menon, Sanjiv Kumar
2024	J	`jnl`	Cascade-Aware Training of Language Models. CoRR Congchao Wang, Sean Augenstein, Keith Rush, Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Aditya Krishna Menon, Alec Go
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	J	`jnl`	Faster Cascades via Speculative Decoding. CoRR Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar
2024	A*	`conf`	Language Model Cascades: Token-Level Uncertainty And Beyond. ICLR Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2024	J	`jnl`	Language Model Cascades: Token-level uncertainty and beyond. CoRR Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2024	A*	`conf`	Learning to Reject Meets Long-tail Learning. ICLR Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Neha Gupta, Sanjiv Kumar
2024	J	`jnl`	Metric-aware LLM inference. CoRR Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix X. Yu, Sanjiv Kumar
2024	J	`jnl`	Optimal Auctions through Deep Learning: Advances in Differentiable Economics. J. ACM Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath
2024	A*	`conf`	Plugin estimators for selective classification with out-of-distribution detection. ICLR Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Sanjiv Kumar
2024	—	`conf`	Regression Aware Inference with LLMs. EMNLP (Findings) Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix X. Yu, Sanjiv Kumar
2023	A*	`conf`	Distributionally Robust Post-hoc Classifiers under Prior Shifts. ICLR Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar
2023	J	`jnl`	Distributionally Robust Post-hoc Classifiers under Prior Shifts. CoRR Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar
2023	J	`jnl`	Learning to reject meets OOD detection: Are all abstentions created equal? CoRR Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Sanjiv Kumar
2023	A	`conf`	Robust distillation for worst-class performance: on the interplay between teacher and student objectives. UAI Serena Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon
2023	A*	`conf`	When Does Confidence-Based Cascade Deferral Suffice? NeurIPS Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar
2023	J	`jnl`	When Does Confidence-Based Cascade Deferral Suffice? CoRR Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar
2022	A*	`conf`	Churn Reduction via Distillation. ICLR Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh
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
2022	A*	`conf`	Post-hoc estimators for learning to defer to an expert. NeurIPS Harikrishna Narasimhan, Wittawat Jitkrittum, Aditya Krishna Menon, Ankit Singh Rawat, Sanjiv Kumar
2022	A	`conf`	Quadratic metric elicitation for fairness and beyond. UAI Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo
2022	J	`jnl`	Robust Distillation for Worst-class Performance. CoRR Serena Lutong Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon
2021	J	`jnl`	Churn Reduction via Distillation. CoRR Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh
2021	J	`jnl`	Distilling Double Descent. CoRR Andrew Cotter, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sashank J. Reddi, Yichen Zhou
2021	J	`jnl`	Implicit Rate-Constrained Optimization of Non-decomposable Objectives. CoRR Abhishek Kumar, Harikrishna Narasimhan, Andrew Cotter
2021	A*	`conf`	Implicit rate-constrained optimization of non-decomposable objectives. ICML Abhishek Kumar, Harikrishna Narasimhan, Andrew Cotter
2021	J	`jnl`	Optimal auctions through deep learning. Commun. ACM Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath
2021	A*	`conf`	Optimizing Black-box Metrics with Iterative Example Weighting. ICML Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Mahdi Milani Fard, Sanmi Koyejo
2021	J	`jnl`	Optimizing Black-box Metrics with Iterative Example Weighting. CoRR Gaurush Hiranandani, Jatin Mathur, Oluwasanmi Koyejo, Mahdi Milani Fard, Harikrishna Narasimhan
2021	A*	`conf`	Training Over-parameterized Models with Non-decomposable Objectives. NeurIPS Harikrishna Narasimhan, Aditya Krishna Menon
2021	J	`jnl`	Training Over-parameterized Models with Non-decomposable Objectives. CoRR Harikrishna Narasimhan, Aditya Krishna Menon
2020	A*	`conf`	Approximate Heavily-Constrained Learning with Lagrange Multiplier Models. NeurIPS Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou, Serena Lutong Wang, Wenshuo Guo
2020	A*	`conf`	Consistent Plug-in Classifiers for Complex Objectives and Constraints. NeurIPS Shiv Kumar Tavker, Harish Guruprasad Ramaswamy, Harikrishna Narasimhan
2020	A*	`conf`	Fair Performance Metric Elicitation. NeurIPS Gaurush Hiranandani, Harikrishna Narasimhan, Oluwasanmi Koyejo
2020	J	`jnl`	Fair Performance Metric Elicitation. CoRR Gaurush Hiranandani, Harikrishna Narasimhan, Oluwasanmi Koyejo
2020	A*	`conf`	Optimizing Black-box Metrics with Adaptive Surrogates. ICML Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta
2020	J	`jnl`	Optimizing Black-box Metrics with Adaptive Surrogates. CoRR Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta
2020	A*	`conf`	Pairwise Fairness for Ranking and Regression. AAAI Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang
2020	J	`jnl`	Quadratic Metric Elicitation with Application to Fairness. CoRR Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo
2020	A*	`conf`	Robust Optimization for Fairness with Noisy Protected Groups. NeurIPS Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan
2020	J	`jnl`	Robust Optimization for Fairness with Noisy Protected Groups. CoRR Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan
2019	A*	`conf`	Metric-Optimized Example Weights. ICML Sen Zhao, Mahdi Milani Fard, Harikrishna Narasimhan, Maya R. Gupta
2019	A*	`conf`	On Making Stochastic Classifiers Deterministic. NeurIPS Andrew Cotter, Maya R. Gupta, Harikrishna Narasimhan
2019	A*	`conf`	Optimal Auctions through Deep Learning. ICML Paul Duetting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath
2019	J	`jnl`	Optimizing Generalized Rate Metrics through Game Equilibrium. CoRR Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta
2019	A*	`conf`	Optimizing Generalized Rate Metrics with Three Players. NeurIPS Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta
2019	J	`jnl`	Pairwise Fairness for Ranking and Regression. CoRR Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang
2018	A*	`conf`	Deep Learning for Multi-Facility Location Mechanism Design. IJCAI Noah Golowich, Harikrishna Narasimhan, David C. Parkes
2018	A	`conf`	Deep Learning for Revenue-Optimal Auctions with Budgets. AAMAS Zhe Feng, Harikrishna Narasimhan, David C. Parkes
2018	A	`conf`	Learning with Complex Loss Functions and Constraints. AISTATS Harikrishna Narasimhan
2017	J	`jnl`	Optimal Auctions through Deep Learning. CoRR Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes
2017	J	`jnl`	Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve. Neural Comput. Harikrishna Narasimhan, Shivani Agarwal
2016	A	`conf`	A General Statistical Framework for Designing Strategy-proof Assignment Mechanisms. UAI Harikrishna Narasimhan, David C. Parkes
2016	A*	`conf`	Automated Mechanism Design without Money via Machine Learning. IJCAI Harikrishna Narasimhan, Shivani Agarwal, David C. Parkes
2016	A*	`conf`	Online Optimization Methods for the Quantification Problem. KDD Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani
2016	A*	`conf`	Optimizing the Multiclass F-Measure via Biconcave Programming. ICDM Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy
2016	J	`jnl`	Stochastic Optimization Techniques for Quantification Performance Measures. CoRR Shuai Li, Harikrishna Narasimhan, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
2016	J	`jnl`	Support Vector Algorithms for Optimizing the Partial Area Under the ROC Curve. CoRR Harikrishna Narasimhan, 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 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	—	`conf`	Learnability of Influence in Networks. NIPS Harikrishna Narasimhan, David C. Parkes, Yaron Singer
2015	A*	`conf`	Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. ICML Harikrishna Narasimhan, Purushottam Kar, Prateek Jain
2015	J	`jnl`	Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. CoRR Harikrishna Narasimhan, Purushottam Kar, Prateek Jain
2015	A*	`conf`	Surrogate Functions for Maximizing Precision at the Top. ICML Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
2015	J	`jnl`	Surrogate Functions for Maximizing Precision at the Top. CoRR Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
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	—	`conf`	On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures. NIPS Harikrishna Narasimhan, Rohit Vaish, Shivani Agarwal
2014	—	`conf`	Online and Stochastic Gradient Methods for Non-decomposable Loss Functions. NIPS Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
2014	J	`jnl`	Online and Stochastic Gradient Methods for Non-decomposable Loss Functions. CoRR Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
2013	—	`conf`	A Structural SVM Based Approach for Optimizing Partial AUC. ICML (1) Harikrishna Narasimhan, Shivani Agarwal
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
2010	—	`conf`	Automatic summarization of cricket video events using genetic algorithm. GECCO (Companion) Harikrishna Narasimhan, Sanjeev Satheesh, Dinesh Sriram
2010	C	`conf`	Game Theoretic Resistance to Denial of Service Attacks Using Hidden Difficulty Puzzles. ISPEC Harikrishna Narasimhan, Venkatanathan Varadarajan, C. Pandu Rangan
2010	—	`conf`	Towards a Cooperative Defense Model Against Network Security Attacks. WEIS Harikrishna Narasimhan, Venkatanathan Varadarajan, C. Pandu Rangan
2009	—	`conf`	A Randomized Iterative Improvement Algorithm for Photomosaic Generation. NaBIC Harikrishna Narasimhan, Sanjeev Satheesh
2009	C	`conf`	Evolving player-specific content for level based arcade games. FDG Sanjeev Satheesh, Harikrishna Narasimhan, Pramala Senthil
2009	J	`jnl`	Game Theoretic Resistance to Denial of Service Attacks Using Hidden Difficulty Puzzles. IACR Cryptol. ePrint Arch. Harikrishna Narasimhan, Venkatanathan Varadarajan, C. Pandu Rangan
2009	—	`conf`	Parallel Artificial Bee Colony (PABC) Algorithm. NaBIC Harikrishna Narasimhan