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gaurav sinha home publications patents google scholar linkedin gaurav sinha microsoft research e mail sinhagaur88 at gmail dot com about me i am a principal researcher at microsoft research working in the areas of reinforcement learning causal inference and theory i received my ph d in mathematics from the california institute of technology in 2016 where i was advised by prof eric rains and my integrated m sc in mathematics and scientific computing from indian institute of technology iit kanpur in 2011 research interests reinforcement learning causal inference and discovery information retrieval theoretical computer science selected papers view all learning good interventions in causal graphs via covering joint with ayush sawarni rahul madhavan and siddharth barman uai 2023 pmlr combinatorial categorized bandits with expert rankings joint with sayak ray chowdhury nagarajan natarajan and amit sharma uai 2023 pmlr efficient convex exploration for minimizing simple regret in layered causal mdps joint with rahul madhavan aurghya maiti and siddharth barman arxiv submitted a causal bandit approach to learning good atomic interventions in presence of unobserved confounders joint with aurghya maiti and vineet nair uai 2022 arxiv almost optimal universal lower bound for learning causal dags with atomic interventions joint with vibhor porwal and piyush srivastava 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 joint with abhinav kumar uai 2021 oral budgeted and non budgeted causal bandits joint with vineet nair and vishakha patil aistats 2021 arxiv reconstruction of real depth 3 circuits with top fan in 2 ccc 2016 arxiv eccc 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 page generated 2023 10 20 10 20 00 ist by jemdoc mathjax