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Found 4 papers, 0 papers with code
Hyperfast Second-Order Local Solvers for Efficient Statistically Preconditioned Distributed Optimization
Statistical preconditioning enables fast methods for distributed large-scale empirical risk minimization problems.
Distributed Optimization
Optimization and Control
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions
In this paper, we take an online learning angle and address the fundamental problem of learning to bid in repeated first-price auctions, where both the bidder's private valuations and other bidders' bids can be arbitrary.
Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising
For this reason search engines often provide a service of advanced matching, which automatically finds additional relevant queries for advertisers to bid on.
Network-Efficient Distributed Word2vec Training System for Large Vocabularies
Word2vec is a popular family of algorithms for unsupervised training of dense vector representations of words on large text corpuses.
