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Agenda
Publications
statistics
Sharp Optimal Algorithm for Derivative-Free Stochastic Convex Optimization in One Dimension
Stochastic convex optimization is a classical problem with well-understood guarantees under first-order feedback. In contrast, for zero-order optimization with noisy function evaluations, a logarithmi ...
Arxiv, Optimization and Control, 2026
statistics
Gradient-free stochastic optimization of derivatives under strong convexity
We consider the problem of minimizing the k-th order partial derivative f=∂kjg of an unknown function g along a fixed coordinate direction j, based on noisy queries of g. Assuming that g has Hölder ...
Arxiv, Statistics Theory, 2026
economics
Innovation and startup acquisition
In this paper, we consider two platforms that compete for the development of a new product to integrate into their ecosystems. The new product can be developed either in-house by the platforms or by a ...
International Journal of Industrial Organization, 2026
economics
Measuring Sensitive Outcomes through Ballot-Bag Surveys
Prevailing methods for measuring sensitive outcomes confront researchers with an inherent bias-variance trade-off: direct questioning is prone to a sensitivity bias, while indirect methods such as lis ...
American Economic Review: Insights, 2026













