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Dravyansh Sharma · SciRah

Researcher profile · Semantic Scholar

Dravyansh Sharma

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Dravyansh Sharma — researcher profile on SciRah

h-index: 12
Works: 34
Citations: 386

Most-cited papers

On Greedy Maximization of Entropy
Dravyansh Sharma, Ashish Kapoor, A. Deshpande
2015International Conference on Machine Learning70 citations
Semantic Scholar
Learning piecewise Lipschitz functions in changing environments
Maria-Florina Balcan, Travis Dick, Dravyansh Sharma
2019International Conference on Artificial Intelligence and Statistics31 citations
Semantic Scholar
Learning accurate and interpretable decision trees
Maria-Florina Balcan, Dravyansh Sharma
2024Conference on Uncertainty in Artificial Intelligence30 citations
Semantic Scholar
Provably tuning the ElasticNet across instances
Maria-Florina Balcan, M. Khodak, Dravyansh Sharma, A. Talwalkar
2022Neural Information Processing Systems28 citations Open access
Semantic Scholar
Robustly-reliable learners under poisoning attacks
Maria-Florina Balcan, Avrim Blum, Steve Hanneke, Dravyansh Sharma
2022Annual Conference Computational Learning Theory23 citations Open access
Semantic Scholar
Learning-to-learn non-convex piecewise-Lipschitz functions
Maria-Florina Balcan, M. Khodak, Dravyansh Sharma, A. Talwalkar
2021Neural Information Processing Systems23 citations
Semantic Scholar
Data driven semi-supervised learning
Maria-Florina Balcan, Dravyansh Sharma
2021Neural Information Processing Systems21 citations
Semantic Scholar
New Bounds for Hyperparameter Tuning of Regression Problems Across Instances
Maria-Florina Balcan, Anh Nguyen, Dravyansh Sharma
2023Neural Information Processing Systems19 citations
Semantic Scholar
An Analysis of Robustness of Non-Lipschitz Networks
Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang
2020Journal of machine learning research16 citations
Semantic Scholar
Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
Maria-Florina Balcan, Anh Nguyen, Dravyansh Sharma
2025Neural Information Processing Systems14 citations
Semantic Scholar
Reliable learning in challenging environments
Maria-Florina Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma
2023Neural Information Processing Systems13 citations Open access
Semantic Scholar
Algorithm Configuration for Structured Pfaffian Settings
Maria-Florina Balcan, Anh Nguyen, Dravyansh Sharma
2024Trans. Mach. Learn. Res.12 citations
Semantic Scholar
Offline-to-online hyperparameter transfer for stochastic bandits
Dravyansh Sharma, A. Suggala
2025AAAI Conference on Artificial Intelligence10 citations
Semantic Scholar
Accelerating ERM for data-driven algorithm design using output-sensitive techniques
Maria-Florina Balcan, Christopher Seiler, Dravyansh Sharma
2022Neural Information Processing Systems10 citations Open access
Semantic Scholar
On the Power of Abstention and Data-Driven Decision Making for Adversarial Robustness
Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang
2020arXiv.org10 citations
Semantic Scholar
Efficiently Learning the Graph for Semi-supervised Learning
Dravyansh Sharma, Maxwell Jones
2023Conference on Uncertainty in Artificial Intelligence9 citations Open access
Semantic Scholar
Learning accurate and interpretable tree-based models
Maria-Florina Balcan, Dravyansh Sharma
20248 citations
Semantic Scholar
Predicting and Explaining French Grammatical Gender
Saumya Yashmohini Sahai, Dravyansh Sharma
2021SIGTYP8 citations Open access
Semantic Scholar
On Learning Verifiers and Implications to Chain-of-Thought Reasoning
Maria-Florina Balcan, Avrim Blum, Zhiyuan Li, Dravyansh Sharma
2025Neural Information Processing Systems5 citations Open access
Semantic Scholar
Subsidy design for better social outcomes
Maria-Florina Balcan, M. Pozzi, Dravyansh Sharma
2024arXiv.org4 citations
Semantic Scholar
Dictionary Augmented Sequence-to-Sequence Neural Network for Grapheme to Phoneme Prediction
A. Bruguier, A. Bakhtin, Dravyansh Sharma
2018Interspeech4 citations
Semantic Scholar
Invited Open Problem: Online Optimization of Piecewise-Lipschitz Functions with Applications to Data-Driven Algorithm Design
Maria-Florina Balcan, Wesley Pegden, Dravyansh Sharma
2026Annual Conference Computational Learning Theory3 citations
Semantic Scholar
Distribution-dependent Generalization Bounds for Tuning Linear Regression Across Tasks
Maria-Florina Balcan, Saumya Goyal, Dravyansh Sharma
2025arXiv.org3 citations
Semantic Scholar
Faster algorithms for learning to link, align sequences, and price two-part tariffs
Maria-Florina Balcan, Christopher Seiler, Dravyansh Sharma
2022arXiv.org3 citations Open access
Semantic Scholar
Better Morphology Prediction for Better Speech Systems
Dravyansh Sharma, M. Wilson, A. Bruguier
2019Interspeech3 citations
Semantic Scholar
Online optimization of piecewise Lipschitz functions in changing environments
Maria-Florina Balcan, Travis Dick, Dravyansh Sharma
2019arXiv.org2 citations
Semantic Scholar
On Training and Evaluation of Grapheme-to-Phoneme Mappings with Limited Data
Dravyansh Sharma
2018Interspeech2 citations
Semantic Scholar
Data driven algorithms for limited labeled data learning
Maria-Florina Balcan, Dravyansh Sharma
2021arXiv.org1 citations
Semantic Scholar
Improved pronunciation prediction accuracy using morphology
Dravyansh Sharma, Saumya Yashmohini Sahai, Neha Chaudhari, A. Bruguier
2021Special Interest Group on Computational Morphology and Phonology Workshop1 citations Open access
Semantic Scholar
Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
François Roewer-Després, A. Y. Yeung, Ilan Kogan, J. Carletta +496 more
20210 citations Open access
Semantic Scholar
Appendix A Discretization based algorithm
Maria-Florina Balcan, Travis Dick, Dravyansh Sharma
20200 citations
Semantic Scholar
Some results on a class of mixed van der Waerden numbers
K. Maran, Sai Praneeth Reddy, Dravyansh Sharma, A. Tripathi
2018Rocky Mountain Journal of Mathematics0 citations Open access
Semantic Scholar
Lecture 1 : A local algorithm for low conductance clusters using the Lovasz-Simonovits Theorem
A. Bagchi, Dravyansh Sharma, S. Praneeth
20150 citations
Semantic Scholar
C AN NON -L IPSCHITZ NETWORKS BE ROBUST ? T HE POWER OF ABSTENTION AND DATA - DRIVEN DECI - SION MAKING FOR ROBUST NON -L IPSCHITZ NETWORKS
Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang
0 citations
Semantic Scholar

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