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Cilantro: Performance-Aware Resource Allocation for General Objectives via Online...OSDI 20232023-07-10
Cilantro is a scheduler that replaces user resource requests with online learning from real-time job feedback to map resources to performance, decouples…
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MEVconomic's Panel: Speedrunning Finance Latency in MEVMEVconomics.wtf 20232023-03-24
Empirical message‑level data from the London Stock Exchange and a UK FCA study show race arbitrage dominates: about 20% of trading volume is racing, the modal…
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On gradient-based methods for finding game-theoretic equilibriaO'Reilly Artificial Intelligence Conference 2019 - San Jose2019-09-09
Matches a learning multi-armed bandit problem to a matching market where choices are exclusive so only one agent wins each arm, models agents exploring unknown…
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Ray: A Distributed Execution Framework for Emerging AI ApplicationsStrata + Hadoop World 20172017-03-13
A new execution framework called Ray aims to replace Spark for low-latency, live-data AI workloads by combining the familiar guarantees of Hadoop/Spark with a…
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Nonparametric Bayesian Methods: Models, Algorithms, and Applications IIFoundations of Machine Learning Boot Camp 20172017-01-23
Covers how stick‑breaking GEM priors produce discrete random measures used as Dirichlet process priors, derives the Chinese restaurant and Pólya‑urn…
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Nonparametric Bayesian Methods: Models, Algorithms, and Applications IIIFoundations of Machine Learning Boot Camp 20172017-01-23
Shows how stick-breaking and the Polya/Chinese Restaurant logic arise from a Beta–Bernoulli De Finetti mix, then constructs completely random measures by…
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Big Data: The Computation/Statistics InterfaceBig Data Boot Camp 20132013-09-03
Argues that progress requires marrying computational ideas with statistical decision theory and gives concrete tools and numbers: convex relaxation hierarchies…
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