← Authors

Harikrishna Narasimhan

40 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3) πŸ† Grand Slam πŸ”¬ Deep Specialist (19) πŸ† Keyword Champion (3) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (154) ⚑ Prolific Year (5) ❓ The Questioner πŸ’Ž Century Club (40)

Conferences

NIPS (13) ICML (12) ICLR (7) IJCAI (2) UAI (2) AAAI (1) AISTATS (1) EMNLP (1) JMLR (1)

Top co-authors

Sanjiv Kumar (9) Shivani Agarwal (8) Aditya Krishna Menon (8) Andrew Cotter (7) Wittawat Jitkrittum (7) Maya Gupta (6) Neha Gupta (4) Serena Wang (4) MICHAL LUKASIK (4) Gaurush Hiranandani (3)

Keywords

confusion matrix (5) fairness constraint (4) constrained optimization (4) robust optimization (3) multiclass classification (3) cost-sensitive learning (3) class imbalance (3) statistical consistency (3) group fairness (2) class probability estimation (2) non-decomposable measures (2) roc curve (2) algorithmic fairness (2) true positive rate (2) deep learning (2) binary classification (2) stochastic gradient descent (2) black-box optimization (2) mechanism design (2) plug-in classifier (2)

Papers

Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation ICML 2025
Faster Cascades via Speculative Decoding ICLR 2025
Better autoregressive regression with LLMs via regression-aware fine-tuning ICLR 2025
Plugin estimators for selective classification with out-of-distribution detection ICLR 2024
Regression Aware Inference with LLMs EMNLP 2024
Learning to Reject Meets Long-tail Learning ICLR 2024
Consistent Multiclass Algorithms for Complex Metrics and Constraints JMLR 2024
Language Model Cascades: Token-Level Uncertainty And Beyond ICLR 2024
Robust distillation for worst-class performance: on the interplay between teacher and student objectives UAI 2023
When Does Confidence-Based Cascade Deferral Suffice? NIPS 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts ICLR 2023
Churn Reduction via Distillation ICLR 2022
Quadratic metric elicitation for fairness and beyond UAI 2022
Post-hoc estimators for learning to defer to an expert NIPS 2022
Training Over-parameterized Models with Non-decomposable Objectives NIPS 2021
Optimizing Black-box Metrics with Iterative Example Weighting ICML 2021
Implicit rate-constrained optimization of non-decomposable objectives ICML 2021
Robust Optimization for Fairness with Noisy Protected Groups NIPS 2020
Fair Performance Metric Elicitation NIPS 2020
Consistent Plug-in Classifiers for Complex Objectives and Constraints NIPS 2020
Pairwise Fairness for Ranking and Regression AAAI 2020
Optimizing Black-box Metrics with Adaptive Surrogates ICML 2020
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models NIPS 2020
Metric-Optimized Example Weights ICML 2019
Optimizing Generalized Rate Metrics with Three Players NIPS 2019
On Making Stochastic Classifiers Deterministic NIPS 2019
Optimal Auctions through Deep Learning ICML 2019
Deep Learning for Multi-Facility Location Mechanism Design IJCAI 2018
Learning with Complex Loss Functions and Constraints AISTATS 2018
Automated Mechanism Design without Money via Machine Learning IJCAI 2016
Consistent Multiclass Algorithms for Complex Performance Measures ICML 2015
Learnability of Influence in Networks NIPS 2015
Surrogate Functions for Maximizing Precision at the Top ICML 2015
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes ICML 2015
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions NIPS 2014
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare ICML 2014
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures NIPS 2014
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation NIPS 2013
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance ICML 2013
A Structural SVM Based Approach for Optimizing Partial AUC ICML 2013