Dravyansh Sharma

Venues

Frequent coauthors

Papers

1. Invited Open Problem: Online Optimization of Piecewise-Lipschitz Functions with Applications to Data-Driven Algorithm Design
   COLT 2026 ·

   Maria-Florina Balcan

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2. Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
   NeurIPS 2025 · Dravyansh Sharma
3. Learning Accurate and Interpretable Decision Trees (Extended Abstract)
   IJCAI 2025 ·

   Maria-Florina Balcan

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4. Offline-to-Online Hyperparameter Transfer for Stochastic Bandits
   AAAI 2025 · Dravyansh Sharma
5. On Learning Verifiers and Implications to Chain-of-Thought Reasoning
   NeurIPS 2025 ·

   Maria-Florina Balcan

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6. PAC Learning with Improvements
   ICML 2025 ·

   Idan Attias

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7. Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
   NeurIPS 2025 ·

   Maria-Florina Balcan

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8. Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees
   UAI 2025 ·

   Ally Yalei Du

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9. Accelerating ERM for data-driven algorithm design using output-sensitive techniques
   NeurIPS 2024 ·

   Maria-Florina Balcan

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10. Learning Accurate and Interpretable Decision Trees
    UAI 2024 ·

    Maria-Florina Balcan

    DBLP profile ↗ORCID search ↗
11. No Internal Regret with Non-convex Loss Functions
    AAAI 2024 · Dravyansh Sharma