Video: https://vimeo.com/205607984 Abstract: The efficacy of robust optimization methods has recently been extended to multistage problems with uncertainties bound in predetermined sets. Although current frameworks are general and model a large variety of settings, they cannot accurately describe problems with changing uncertainties. This is instrumental in many applications, because our …
Video: https://vimeo.com/206599382 We formulate a multi-regional, multi commodity general equilibrium trade model to investigate the implications of border taxes on embodied carbon. This has been the topic of a number of papers in the academic literature, most of which focus on the implications of border carbon adjustments on imports from …
Video: https://vimeo.com/207650674 Often in times in practice, the partial differential equations people encounter present multi-scale structure that are numerically hard to capture, or have more dimensions than one could afford to solve. When those happen, the traditional numerical PDE methods, including finite difference, finite element or spectral types of method …
Video: https://vimeo.com/209267168 Causal inference is usually dichotomized into two categories, experimental (Fisher) and observational (Pearl) which, by and large, are studied separately. Reality is more demanding. Experimental and observational studies are but two extremes of a rich spectrum of research designs that generate the bulk of the data available in …
Video: https://vimeo.com/210827474 Bitcoin enjoys a public perception of being a privacy-preserving financial system. In reality, Bitcoin has a number of privacy vulnerabilities, including the well-studied fact that transactions can be linked through the public blockchain. More recently, researchers have demonstrated deanonymization attacks that exploit a lower-layer weakness: the Bitcoin peer-to-peer …
Video: https://vimeo.com/212259328 I will present our recent and ongoing work on fully automatic image colorization. Our approach exploits both low-level and semantic representations during colorization. As many scene elements naturally appear according to multimodal color distributions, we train our model to predict per-pixel color histograms. Our system achieves state-of-the-art results …
Video: https://vimeo.com/213227336 Abstract: The basic design of the camera — a lens and an imaging sensor — has remain unchanged for many centuries. While this design has been perfected for professional photography, there are many current and upcoming application domains where it is woefully inadequate. I will discuss three such …
Video: https://vimeo.com/214184865 In the “heavy hitters” or “frequent items” problem, one must process a stream of items and report those items that occur frequently. For example, a telecommunications company may wish to find popular destination IP addresses in a packet stream across one of their links, or a search engine …
Video: https://vimeo.com/215556154 We characterize the Bayesian transfer learning problem as one of conditioning on external stochastic knowledge, typically a partially or completely specified distribution. The knowledge is `external’ in that a joint probability model specifying the stochastic dependence on this knowledge is not available. In consequence, there is no unique …
Video: https://vimeo.com/215556012 Identifying communities in a network is an important problem in many fields, including social science, neuroscience, military intelligence, and genetic analysis. In the past decade, the Stochastic Block Model (SBM) has emerged as one of the most well-studied and well-understood statistical models for this problem. Yet, the SBM …