Nagarajan Natarajan

According to our database, Nagarajan Natarajan authored at least 42 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Provably Robust DPO: Aligning Language Models with Noisy Feedback.

Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan

CoRR, 2024

NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness.

Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade

CoRR, 2024

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy.

Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2023

GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval.

Daman Arora, Anush Kini, Sayak Ray Chowdhury, Nagarajan Natarajan, Gaurav Sinha, Amit Sharma

CoRR, 2023

Differentially Private Reward Estimation with Preference Feedback.

Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan

CoRR, 2023

Frustrated with Code Quality Issues? LLMs can Help!

Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram K. Rajamani

CoRR, 2023

StaticFixer: From Static Analysis to Static Repair.

Naman Jain, Shubham Gandhi, Atharv Sonwane, Aditya Kanade, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma

CoRR, 2023

Combinatorial categorized bandits with expert rankings.

Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, Amit Sharma

Proceedings of the Uncertainty in Artificial Intelligence, 2023

SelfTune: Tuning Cluster Managers.

Ajaykrishna Karthikeyan, Nagarajan Natarajan, Gagan Somashekar, Lei Zhao, Ranjita Bhagwan, Rodrigo Fonseca, Tatiana Racheva, Yogesh Bansal

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Don't Forget the User: It's Time to Rethink Network Measurements.

Aryan Taneja, Rahul Bothra, Debopam Bhattacherjee, Rohan Gandhi, Venkata N. Padmanabhan, Ranjita Bhagwan, Nagarajan Natarajan, Saikat Guha, Ross Cutler

Proceedings of the 22nd ACM Workshop on Hot Topics in Networks, 2023

Simulating Network Paths with Recurrent Buffering Units.

Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat N. Padmanabhan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent.

Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan, Prateek Jain

Trans. Mach. Learn. Res., 2022

Data-Driven Network Path Simulation with iBox.

Sachin Ashok, Shubham Tiwari, Nagarajan Natarajan, Venkata N. Padmanabhan, Sundararajan Sellamanickam

Proc. ACM Meas. Anal. Comput. Syst., 2022

Jigsaw: Large Language Models meet Program Synthesis.

Naman Jain, Skanda Vaidyanath, Arun Shankar Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization.

Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Programming by Rewards.

Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram K. Rajamani, Sumit Gulwani, Johannes Gehrke

CoRR, 2020

iBox: Internet in a Box.

Sachin Ashok, Sai Surya Duvvuri, Nagarajan Natarajan, Venkata N. Padmanabhan, Sundararajan Sellamanickam, Johannes Gehrke

Proceedings of the HotNets '20: The 19th ACM Workshop on Hot Topics in Networks, 2020

2019

OASIS: ILP-Guided Synthesis of Loop Invariants.

Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain

CoRR, 2019

Learning Natural Programs from a Few Examples in Real-Time.

Nagarajan Natarajan, Danny Simmons, Naren Datha, Prateek Jain, Sumit Gulwani

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Distributional Semantics Meets Multi-Label Learning.

Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning from binary labels with instance-dependent noise.

Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan

Mach. Learn., 2018

2017

Cost-Sensitive Learning with Noisy Labels.

Nagarajan Natarajan, Inderjit S. Dhillon, Pradeep Ravikumar, Ambuj Tewari

J. Mach. Learn. Res., 2017

Leveraging Distributional Semantics for Multi-Label Learning.

Rahul Wadbude, Vivek Gupta, Piyush Rai, Nagarajan Natarajan, Harish Karnick

CoRR, 2017

Consistency Analysis for Binary Classification Revisited.

Krzysztof Dembczynski, Wojciech Kotlowski, Oluwasanmi Koyejo, Nagarajan Natarajan

Proceedings of the 34th International Conference on Machine Learning, 2017

Active Heteroscedastic Regression.

Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Learning from Binary Labels with Instance-Dependent Corruption.

Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan

CoRR, 2016

Regret Bounds for Non-decomposable Metrics with Missing Labels.

Nagarajan Natarajan, Prateek Jain

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Optimal Classification with Multivariate Losses.

Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics.

Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon

CoRR, 2015

Consistent Multilabel Classification.

Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Predtron: A Family of Online Algorithms for General Prediction Problems.

Prateek Jain, Nagarajan Natarajan, Ambuj Tewari

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

PU Learning for Matrix Completion.

Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon

Proceedings of the 32nd International Conference on Machine Learning, 2015

PU matrix completion with graph information.

Nagarajan Natarajan, Nikhil Rao, Inderjit S. Dhillon

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

Prediction and clustering in signed networks: a local to global perspective.

Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon, Ambuj Tewari

J. Mach. Learn. Res., 2014

Inductive matrix completion for predicting gene-disease associations.

Nagarajan Natarajan, Inderjit S. Dhillon

Bioinform., 2014

Consistent Binary Classification with Generalized Performance Metrics.

Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Which app will you use next?: collaborative filtering with interactional context.

Nagarajan Natarajan, Donghyuk Shin, Inderjit S. Dhillon

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Learning with Noisy Labels.

Nagarajan Natarajan, Inderjit S. Dhillon, Pradeep Ravikumar, Ambuj Tewari

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Community detection in content-sharing social networks.

Nagarajan Natarajan, Prithviraj Sen, Vineet Chaoji

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2011

Scalable Affiliation Recommendation using Auxiliary Networks.

Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Berkant Savas, Inderjit S. Dhillon

ACM Trans. Intell. Syst. Technol., 2011

Exploiting longer cycles for link prediction in signed networks.

Kai-Yang Chiang, Nagarajan Natarajan, Ambuj Tewari, Inderjit S. Dhillon

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Affiliation recommendation using auxiliary networks.

Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Inderjit S. Dhillon

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010