Harikrishna Narasimhan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
13
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | 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 |
| 2025 | ICLR | Faster Cascades via Speculative Decoding. | Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar |
| 2025 | ICML | 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 |
| 2024 | EMNLP | Regression Aware Inference with LLMs. | Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix X. Yu, Sanjiv Kumar |
| 2024 | ICLR | Language Model Cascades: Token-Level Uncertainty And Beyond. | Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar |
| 2024 | ICLR | Learning to Reject Meets Long-tail Learning. | Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Neha Gupta, Sanjiv Kumar |
| 2024 | ICLR | Plugin estimators for selective classification with out-of-distribution detection. | Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Sanjiv Kumar |
| 2023 | ICLR | Distributionally Robust Post-hoc Classifiers under Prior Shifts. | Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar |
| 2023 | UAI | 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 |
| 2022 | ICLR | Churn Reduction via Distillation. | Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh |
| 2022 | UAI | Quadratic metric elicitation for fairness and beyond. | Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo |
| 2021 | ICML | Optimizing Black-box Metrics with Iterative Example Weighting. | Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Mahdi Milani Fard, Sanmi Koyejo |
| 2021 | ICML | Implicit rate-constrained optimization of non-decomposable objectives. | Abhishek Kumar, Harikrishna Narasimhan, Andrew Cotter |
| 2020 | AAAI | Pairwise Fairness for Ranking and Regression. | Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang |
| 2020 | ICML | Optimizing Black-box Metrics with Adaptive Surrogates. | Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta |
| 2019 | ICML | Optimal Auctions through Deep Learning. | Paul Duetting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath |
| 2019 | ICML | Metric-Optimized Example Weights. | Sen Zhao, Mahdi Milani Fard, Harikrishna Narasimhan, Maya R. Gupta |
| 2018 | AISTATS | Learning with Complex Loss Functions and Constraints. | Harikrishna Narasimhan |
| 2018 | IJCAI | Deep Learning for Multi-Facility Location Mechanism Design. | Noah Golowich, Harikrishna Narasimhan, David C. Parkes |
| 2016 | ICDM | Optimizing the Multiclass F-Measure via Biconcave Programming. | Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy |
| 2016 | IJCAI | Automated Mechanism Design without Money via Machine Learning. | Harikrishna Narasimhan, Shivani Agarwal, David C. Parkes |
| 2016 | KDD | Online Optimization Methods for the Quantification Problem. | Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani |
| 2016 | UAI | A General Statistical Framework for Designing Strategy-proof Assignment Mechanisms. | Harikrishna Narasimhan, David C. Parkes |
| 2015 | ICML | Surrogate Functions for Maximizing Precision at the Top. | Purushottam Kar, Harikrishna Narasimhan, Prateek Jain |
| 2015 | ICML | Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. | Harikrishna Narasimhan, Purushottam Kar, Prateek Jain |
| 2015 | ICML | Consistent Multiclass Algorithms for Complex Performance Measures. | Harikrishna Narasimhan, Harish G. Ramaswamy, Aadirupa Saha, Shivani Agarwal |
| 2015 | UAI | Bayes Optimal Feature Selection for Supervised Learning with General Performance Measures. | C. G. Saneem Ahmed, Harikrishna Narasimhan, Shivani Agarwal |
| 2014 | ICML | GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare. | Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan, Shivani Agarwal |
| 2014 | ICMLA | Learning Score Systems for Patient Mortality Prediction in Intensive Care Units via Orthogonal Matching Pursuit. | Aadirupa Saha, Chandrahas Dewangan, Harikrishna Narasimhan, Sriram Sampath, Shivani Agarwal |
| 2013 | ICML | On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance. | Aditya Krishna Menon, Harikrishna Narasimhan, Shivani Agarwal, Sanjay Chawla |
| 2013 | ICML | A Structural SVM Based Approach for Optimizing Partial AUC. | Harikrishna Narasimhan, Shivani Agarwal |
| 2013 | KDD | SVM | Harikrishna Narasimhan, Shivani Agarwal |
| 2010 | GECCO | Automatic summarization of cricket video events using genetic algorithm. | Harikrishna Narasimhan, Sanjeev Satheesh, Dinesh Sriram |
| 2010 | ISPEC | Game Theoretic Resistance to Denial of Service Attacks Using Hidden Difficulty Puzzles. | Harikrishna Narasimhan, Venkatanathan Varadarajan, C. Pandu Rangan |
| 2009 | FDG | Evolving player-specific content for level based arcade games. | Sanjeev Satheesh, Harikrishna Narasimhan, Pramala Senthil |