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      Mixability of Integral Losses: a Key to Efficient Online Aggregation of Functional and Probabilistic Forecasts

      December 15, 2019

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      Computer Science
      Statistics
      Machine Learning
      Machine Learning
      Machine Learning
      Machine Learning
      In this paper we extend the setting of the online prediction with expert advice to function-valued forecasts. At each step of the online game several experts predict a function, and the learner has to efficiently aggregate these functional ...

      Quantum chaos and macroscopic realism as no-signaling in time

      December 15, 2019

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      Physics
      Quantum Physics
      Macroscopic realism is a set of assumptions about how we experience the world at a classical level. While the Leggett-Garg inequalities are temporal correlations that are violated by quantum systems not obeying such macrorealism, the no-sig...

      The Compression method and applications

      December 15, 2019

      Mathematics
      Number Theory
      In this paper we introduce and develop the method of compression of points in space. We introduce the notion of the mass, the rank, the entropy, the cover and the energy of compression. We leverage this method to prove some class of inequal...

      The dominant mechanisms for the formation of solute-rich clusters in low-Cu steels under irradiation

      December 14, 2019

      | | | | | | | | | | and others

      Physics
      Materials Science
      Materials Science
      The formation of nano-sized, coherent, solute-rich clusters (NSRC) is known to be an important factor causing the degradation of the macroscopic properties of steels under irradiation. The mechanisms driving their formation are still debate...

      Asymmetric GANs for Image-to-Image Translation

      December 14, 2019

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      Computer Science
      Electrical Engineering and Systems Science
      Computer Vision and Pattern Recognition
      Machine Learning
      Image and Video Processing
      Existing models for unsupervised image translation with Generative Adversarial Networks (GANs) can learn the mapping from the source domain to the target domain using a cycle-consistency loss. However, these methods always adopt a symmetric...

      Plasma Waves near the Electron Cyclotron Frequency in the near-Sun Solar Wind

      December 14, 2019

      | | | | | | | | | | and others

      Physics
      Space Physics
      Solar and Stellar Astrophysics
      Data from the first two orbits of the Sun by Parker Solar Probe reveal that the solar wind sunward of 50 solar radii is replete with plasma waves and instabilities. One of the most prominent plasma wave power enhancements in this region app...

      Sandpile Groups of Cayley Graphs of F2r\mathbb{F}_2^rF2r​

      December 14, 2019

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      Mathematics
      Combinatorics
      Rings and Algebras
      The sandpile group of a connected graph GGG, defined to be the torsion part of the cokernel of the graph Laplacian, is a subtle graph invariant with combinatorial, algebraic, and geometric descriptions. Extending and improving previous work...

      EPIC: An Energy-Efficient, High-Performance GPGPU Computing Research Infrastructure

      December 12, 2019

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      Computer Science
      Distributed, Parallel, and Cluster Computing
      The pursuit of many research questions requires massive computational resources. State-of-the-art research in physical processes using simulations, the training of neural networks for deep learning, or the analysis of big data are all depen...

      Curvature criterion for vanishing of group cohomology

      December 12, 2019

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      Mathematics
      Group Theory
      Algebraic Topology
      We introduce a new geometric criterion for vanishing of cohomology for BN-pair groups. In particular, this new criterion yields a sharp vanishing of cohomology result for all BN-pair groups acting on non-thin affine building....

      Provably Efficient Exploration in Policy Optimization

      December 12, 2019

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      Computer Science
      Mathematics
      Statistics
      Machine Learning
      Optimization and Control
      Machine Learning
      While policy-based reinforcement learning (RL) achieves tremendous successes in practice, it is significantly less understood in theory, especially compared with value-based RL. In particular, it remains elusive how to design a provably eff...
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