Scholar
Gaurav Sinha
Google Scholar ID: 3Tt6250AAAAJ
Principal Researcher at Microsoft Research
Citations & Impact
Citations
232
H-index
8
i10-index
6
Publications
20
Co-authors
12
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Selected Papers:
- - Learning good interventions in causal graphs via covering (UAI 2023, PMLR)
- - Combinatorial categorized bandits with expert rankings (UAI 2023, PMLR)
- - Efficient Convex Exploration for Minimizing Simple Regret in Layered Causal MDPs (ArXiv, Submitted)
- - A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders (UAI 2022, ArXiv)
- - Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions (AISTATS 2022 Oral, ArXiv)
- - Efficient reconstruction of depth three circuits with top fan-in two (ITCS 2022, ArXiv, ECCC)
- - Disentangling Mixtures of Unknown Causal Interventions (UAI 2021 Oral)
- - Budgeted and Non-Budgeted Causal Bandits (AISTATS 2021, ArXiv)
- - Reconstruction of Real depth-3 Circuits with top fan-in 2 (CCC 2016, ArXiv, ECCC)
Research Experience
- - Principal Researcher at Microsoft Research
Education
- - Ph.D. in Mathematics from California Institute of Technology, 2016, Advisor: Prof. Eric Rains
- - Integrated M.Sc. in Mathematics and Scientific Computing from Indian Institute of Technology (IIT) Kanpur, 2011
Background
- - Research Interests: Reinforcement Learning, Causal Inference and Discovery, Information Retrieval, Theoretical Computer Science
- - Professional Field: Mathematics, Scientific Computing
- - Brief Introduction: Principal Researcher at Microsoft Research, working in the areas of Reinforcement Learning, Causal Inference, and Theory.
Miscellany
- - Professional Service:
- - Reviewer: NeurIPS 2023, AISTATS 2023, KDD 2023, ICML 2022, AISTATS 2022, CODS-COMAD 2022, STOC 2021, AISTATS 2021
- - PC Member: CODS-COMAD 2022
- - Online Chair: CLeaR 2024
