The Dynamics of Venture Capital Relationships : Study of VC network of relationship. The authors found that having a deeper relationship leads to fewer, not more future co-investments. Moreover, deeper relationships lead to lower exit performance, even after controlling for endogeneity. Interestingly, deeper relationships first lead to lower performance and subsequently lead to a slowdown in the relationship intensity. Relationship effects are more negative for VC firms with less central network positions, and for deals made in “hot” investment markets.
Cerebras : a new technique for normalizing hidden activations on neural networks. This allows researchers to greatly accelerated their training sequence without the need to be a Google or AWS with dedicated accelerators. [presentation] [git]
Bit-swap : lossless data compression technique using deep learning.
Picking Winners : the authors propose a framework for venture capital investment. However, I feel that there is a major flaw in the approach as it is designed to correlate previous success with future investment success. This assumes a high degree of repeatability with clear identifiable elements. The model can suffer from the purple cow effect where higher growth opportunities are located in underserved segments. As a result, quite often by following the model, you might suffer from diminishing returns.
Aftershocks in a complex system : the authors look at the behaviour of a complex system ( currency market) after a catastrophic event. They discovered that often such system follows a similar pattern to the one exist in earthquake's aftershock. In extenso, after an initial catastrophic event, most systems suffer a series of gradually diminishing aftershock spaced in time.
ISC Workshop 2017 : all about container and optimisation for high-performance workloads.
