Dravyansh Sharma

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Graph Transduction

Convex Loss Functions

Top Venues

Publications

Dravyansh Sharma
No Internal Regret with Non-convex Loss Functions. AAAI (2024)
Maria-Florina Balcan, Dravyansh Sharma
Learning accurate and interpretable decision trees. CoRR (2024)
Maria-Florina Balcan, Anh Nguyen, Dravyansh Sharma
New Bounds for Hyperparameter Tuning of Regression Problems Across Instances. NeurIPS (2023)
Maria-Florina Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma
Reliable Learning for Test-time Attacks and Distribution Shift. CoRR (2023)
Dravyansh Sharma, Maxwell Jones
Efficiently learning the graph for semi-supervised learning. UAI (2023)
Dravyansh Sharma, Maxwell Jones
Efficiently Learning the Graph for Semi-supervised Learning. CoRR (2023)
Maria-Florina Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma
Reliable learning in challenging environments. NeurIPS (2023)
Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang
An Analysis of Robustness of Non-Lipschitz Networks. J. Mach. Learn. Res. 24 (2023)
Maria-Florina Balcan, Christopher Seiler, Dravyansh Sharma
Faster algorithms for learning to link, align sequences, and price two-part tariffs. CoRR (2022)
Maria-Florina F. Balcan, Misha Khodak, Dravyansh Sharma, Ameet Talwalkar
Provably tuning the ElasticNet across instances. NeurIPS (2022)
Maria-Florina Balcan, Avrim Blum, Steve Hanneke, Dravyansh Sharma
Robustly-reliable learners under poisoning attacks. CoRR (2022)
Maria-Florina Balcan, Avrim Blum, Steve Hanneke, Dravyansh Sharma
Robustly-reliable learners under poisoning attacks. COLT (2022)
Maria-Florina Balcan, Mikhail Khodak, Dravyansh Sharma, Ameet Talwalkar
Provably tuning the ElasticNet across instances. CoRR (2022)
Maria-Florina Balcan, Mikhail Khodak, Dravyansh Sharma, Ameet Talwalkar
Learning-to-learn non-convex piecewise-Lipschitz functions. NeurIPS (2021)
Maria-Florina Balcan, Mikhail Khodak, Dravyansh Sharma, Ameet Talwalkar
Learning-to-learn non-convex piecewise-Lipschitz functions. CoRR (2021)
Maria-Florina Balcan, Dravyansh Sharma
Data driven algorithms for limited labeled data learning. CoRR (2021)
Maria-Florina Balcan, Dravyansh Sharma
Data driven semi-supervised learning. NeurIPS (2021)
Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang
On the Power of Abstention and Data-Driven Decision Making for Adversarial Robustness. CoRR (2020)
Dravyansh Sharma, Maria-Florina Balcan, Travis Dick
Learning piecewise Lipschitz functions in changing environments. AISTATS (2020)
Maria-Florina Balcan, Travis Dick, Dravyansh Sharma
Online optimization of piecewise Lipschitz functions in changing environments. CoRR (2019)
Dravyansh Sharma, Melissa Wilson, Antoine Bruguier
Better Morphology Prediction for Better Speech Systems. INTERSPEECH (2019)
Antoine Bruguier, Anton Bakhtin, Dravyansh Sharma
Dictionary Augmented Sequence-to-Sequence Neural Network for Grapheme to Phoneme Prediction. INTERSPEECH (2018)
Dravyansh Sharma
On Training and Evaluation of Grapheme-to-Phoneme Mappings with Limited Data. INTERSPEECH (2018)
Dravyansh Sharma, Ashish Kapoor, Amit Deshpande
On Greedy Maximization of Entropy. ICML (2015)