Multi-attention Networks for Temporal Localization of Video-level Labels. (arXiv:1911.06866v1 [cs.CV])

Temporal localization remains an important challenge in video understanding. In this work, we present our solution to the 3rd YouTube-8M Video Understanding Challenge organized by Google Research. Participants were required to build a segment-level classifier using a large-scale training data set with noisy video-level labels and a relatively small-scale validation data set with accurate segment-level…

Causal Inference Under Approximate Neighborhood Interference. (arXiv:1911.07085v1 [econ.EM])

This paper studies causal inference in randomized experiments under network interference. Most existing models of interference posit that treatments assigned to alters only affect the ego’s response through a low-dimensional exposure mapping, which only depends on units within some known network radius around the ego. We propose a substantially weaker “approximate neighborhood interference” (ANI) assumption,…

Inference in Models of Discrete Choice with Social Interactions Using Network Data. (arXiv:1911.07106v1 [econ.EM])

This paper studies inference in models of discrete choice with social interactions when the data consists of a single large network. We provide theoretical justification for the use of spatial and network HAC variance estimators in applied work, the latter constructed by using network path distance in place of spatial distance. Toward this end, we…

An Analysis Framework for Metric Voting based on LP Duality. (arXiv:1911.07162v1 [cs.GT])

Distortion-based analysis has established itself as a fruitful framework for comparing voting mechanisms. m voters and n candidates are jointly embedded in an (unknown) metric space, and the voters submit rankings of candidates by non-decreasing distance from themselves. Based on the submitted rankings, the social choice rule chooses a winning candidate; the quality of the…

Optimal Incentive Contract with Endogenous Monitoring Technology. (arXiv:1810.11471v5 [econ.TH] UPDATED)

Recent technology advances have enabled firms to flexibly process and analyze sophisticated employee performance data at a reduced and yet significant cost. We develop a theory of optimal incentive contracting where the monitoring technology that governs the above procedure is part of the designer’s strategic planning. In otherwise standard principal-agent models with moral hazard, we…