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ORCIDDravyansh Sharma
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2020 – today
- 2024
[c13]Dravyansh Sharma:
No Internal Regret with Non-convex Loss Functions. AAAI 2024: 14919-14927- [i12]Maria-Florina Balcan, Dravyansh Sharma:
Learning accurate and interpretable decision trees. CoRR abs/2405.15911 (2024) - [i11]Maria-Florina Balcan, Matteo Pozzi, Dravyansh Sharma:
Subsidy design for better social outcomes. CoRR abs/2409.03129 (2024) - [i10]Maria-Florina Balcan, Anh Tuan Nguyen, Dravyansh Sharma:
Provable Hyperparameter Tuning for Structured Pfaffian Settings. CoRR abs/2409.04367 (2024) - 2023
- [j1]Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang:
An Analysis of Robustness of Non-Lipschitz Networks. J. Mach. Learn. Res. 24: 98:1-98:43 (2023) - [c12]Maria-Florina Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma:
Reliable learning in challenging environments. NeurIPS 2023 - [c11]Maria-Florina Balcan, Anh Nguyen, Dravyansh Sharma:
New Bounds for Hyperparameter Tuning of Regression Problems Across Instances. NeurIPS 2023 - [c10]Dravyansh Sharma, Maxwell Jones:
Efficiently learning the graph for semi-supervised learning. UAI 2023: 1900-1910 - [i9]Maria-Florina Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma:
Reliable Learning for Test-time Attacks and Distribution Shift. CoRR abs/2304.03370 (2023) - [i8]Dravyansh Sharma, Maxwell Jones:
Efficiently Learning the Graph for Semi-supervised Learning. CoRR abs/2306.07098 (2023) - 2022
- [c9]Maria-Florina Balcan, Avrim Blum, Steve Hanneke, Dravyansh Sharma:
Robustly-reliable learners under poisoning attacks. COLT 2022: 4498-4534 - [c8]Maria-Florina Balcan, Misha Khodak, Dravyansh Sharma, Ameet Talwalkar:
Provably tuning the ElasticNet across instances. NeurIPS 2022 - [i7]Maria-Florina Balcan, Avrim Blum, Steve Hanneke, Dravyansh Sharma:
Robustly-reliable learners under poisoning attacks. CoRR abs/2203.04160 (2022) - [i6]Maria-Florina Balcan, Christopher Seiler, Dravyansh Sharma:
Faster algorithms for learning to link, align sequences, and price two-part tariffs. CoRR abs/2204.03569 (2022) - [i5]Maria-Florina Balcan, Mikhail Khodak, Dravyansh Sharma, Ameet Talwalkar:
Provably tuning the ElasticNet across instances. CoRR abs/2207.10199 (2022) - 2021
- [c7]Maria-Florina Balcan, Dravyansh Sharma:
Data driven semi-supervised learning. NeurIPS 2021: 14782-14794 - [c6]Maria-Florina Balcan, Mikhail Khodak, Dravyansh Sharma, Ameet Talwalkar:
Learning-to-learn non-convex piecewise-Lipschitz functions. NeurIPS 2021: 15056-15069 - [i4]Maria-Florina Balcan, Dravyansh Sharma:
Data driven algorithms for limited labeled data learning. CoRR abs/2103.10547 (2021) - [i3]Maria-Florina Balcan, Mikhail Khodak, Dravyansh Sharma, Ameet Talwalkar:
Learning-to-learn non-convex piecewise-Lipschitz functions. CoRR abs/2108.08770 (2021) - 2020
- [c5]Dravyansh Sharma, Maria-Florina Balcan, Travis Dick:
Learning piecewise Lipschitz functions in changing environments. AISTATS 2020: 3567-3577 - [i2]Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang:
On the Power of Abstention and Data-Driven Decision Making for Adversarial Robustness. CoRR abs/2010.06154 (2020)
2010 – 2019
- 2019
- [c4]Dravyansh Sharma, Melissa Wilson, Antoine Bruguier:
Better Morphology Prediction for Better Speech Systems. INTERSPEECH 2019: 3535-3539 - [i1]Maria-Florina Balcan, Travis Dick, Dravyansh Sharma:
Online optimization of piecewise Lipschitz functions in changing environments. CoRR abs/1907.09137 (2019) - 2018
- [c3]Dravyansh Sharma:
On Training and Evaluation of Grapheme-to-Phoneme Mappings with Limited Data. INTERSPEECH 2018: 2858-2862 - [c2]Antoine Bruguier, Anton Bakhtin, Dravyansh Sharma:
Dictionary Augmented Sequence-to-Sequence Neural Network for Grapheme to Phoneme Prediction. INTERSPEECH 2018: 3733-3737 - 2015
- [c1]Dravyansh Sharma, Ashish Kapoor, Amit Deshpande:
On Greedy Maximization of Entropy. ICML 2015: 1330-1338
Coauthor Index
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