Dravyansh Sharma
24 papers · 2015–2026 · 11 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (52) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π¬
Deep Specialist
(12)
π
Keyword Champion
(2)
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(122)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(22)
Optimization & Theory
(17)
Learning Types
(11)
Core Methods
(8)
Artificial Intelligence
(7)
Mathematics & Optimization
(7)
Optimization
(7)
Core AI
(5)
Deep Learning
(4)
Application Areas
(3)
Architectures
(3)
Learning Paradigms
(3)
Speech & Audio
(2)
Recognition
(2)
Computer Science
(1)
Keywords
online learning
(6)
sample complexity
(5)
hyperparameter tuning
(4)
semi-supervised learning
(3)
regret bound
(3)
hyperparameter optimization
(3)
morphological inflection
(2)
decision tree
(2)
piecewise-lipschitz function
(2)
multi-armed bandit
(2)
active learning
(2)
transfer learning
(2)
speech synthesis
(2)
interpretable model
(2)
non-convex optimization
(2)
algorithm design
(2)
robust learning
(2)
empirical risk minimization
(2)
generalization guarantee
(2)
logistic regression
(1)
Papers
Algorithm Design and Stronger Guarantees for the Improving Multi-Armed Bandits Problem
UAI 2026
Invited Open Problem: Online Optimization of Piecewise-Lipschitz Functions with Applications to Data-Driven Algorithm Design
COLT 2026
Learning Accurate and Interpretable Decision Trees (Extended Abstract)
IJCAI 2025
Offline-to-Online Hyperparameter Transfer for Stochastic Bandits
AAAI 2025
PAC Learning with Improvements
ICML 2025
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees
UAI 2025
Accelerating ERM for data-driven algorithm design using output-sensitive techniques
NeurIPS 2024
Learning Accurate and Interpretable Decision Trees
UAI 2024
No Internal Regret with Non-convex Loss Functions
AAAI 2024
An Analysis of Robustness of Non-Lipschitz Networks
JMLR 2023
Efficiently learning the graph for semi-supervised learning
UAI 2023
New Bounds for Hyperparameter Tuning of Regression Problems Across Instances
NeurIPS 2023
Reliable learning in challenging environments
NeurIPS 2023
Provably tuning the ElasticNet across instances
NeurIPS 2022
Robustly-reliable learners under poisoning attacks
COLT 2022
Data driven semi-supervised learning
NeurIPS 2021
Improved pronunciation prediction accuracy using morphology
ACL 2021
Learning-to-learn non-convex piecewise-Lipschitz functions
NeurIPS 2021
Predicting and Explaining French Grammatical Gender
NAACL 2021
Learning piecewise Lipschitz functions in changing environments
AISTATS 2020
Better Morphology Prediction for Better Speech Systems
Interspeech 2019
Dictionary Augmented Sequence-to-Sequence Neural Network for Grapheme to Phoneme Prediction
Interspeech 2018
On Training and Evaluation of Grapheme-to-Phoneme Mappings with Limited Data
Interspeech 2018
On Greedy Maximization of Entropy
ICML 2015