PaperMetrixEvidence-aware discovery
EN
Interface language English EN العربية AR Türkçe TR
Create account
Researcher profile

Alexander J. Smola

8 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Who Supported Obama in 2012?

    2015

    We present a new solution to the ``ecological inference'' problem, of learning individual-level associations from aggregate data. This problem has a long history and has attracted much attention, debate, claims that it is unsolvable, and …

  2. Fast Stochastic Methods for Nonsmooth Nonconvex Optimization

    2016 · arXiv (Cornell University)

    We analyze stochastic algorithms for optimizing nonconvex, nonsmooth finite-sum problems, where the nonconvex part is smooth and the nonsmooth part is convex. Surprisingly, unlike the smooth case, our knowledge of this fundamental problem is very …

  3. Proximal stochastic methods for nonsmooth nonconvex finite-sum optimization

    2016 · Neural Information Processing Systems

    We analyze stochastic algorithms for optimizing nonconvex, nonsmooth finite-sum problems, where the nonsmooth part is convex. Surprisingly, unlike the smooth case, our knowledge of this fundamental problem is very limited. For example, it is not …

  4. GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network

    2020 · arXiv (Cornell University)

    Heterogeneous information network (HIN) has been widely used to characterize entities of various types and their complex relations. Recent attempts either rely on explicit path reachability to leverage path-based semantic relatedness or graph neighborhood to …

  5. Recurrent Recommender Networks

    2017

    Recommender systems traditionally assume that user profiles and movie attributes are static. Temporal dynamics are purely reactive, that is, they are inferred after they are observed, e.g. after a user's taste has changed or based …

  6. Variational Reasoning for Question Answering With Knowledge Graph

    2018 · Proceedings of the AAAI Conference on Artificial Intelligence

    Knowledge graph (KG) is known to be helpful for the task of question answering (QA), since it provides well-structured relational information between entities, and allows one to further infer indirect facts. However, it is challenging …

  7. Variational Reasoning for Question Answering with Knowledge Graph

    2017 · arXiv (Cornell University)

    Knowledge graph (KG) is known to be helpful for the task of question answering (QA), since it provides well-structured relational information between entities, and allows one to further infer indirect facts. However, it is challenging …

  8. An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph

    2020

    There is an influx of heterogeneous information network (HIN) based recommender systems in recent years since HIN is capable of characterizing complex graphs and contains rich semantics. Although the existing approaches have achieved performance improvement, …