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Showing 1 to 4 of 4 for “"Agnostic learning"”.

  1. Intractability Results for some Computational Problems

    … show results for some well-studied problems from learning theory and combinatorial optimization. Learning Parities under the Uniform Distribution: We study the learnability of parities in the agnostic learning framework of Haussler and Kearns et al. We show that under the uniform distribution, …

    gatech Repository record for Intractability Results for some Computational Problems (opens in a new tab)

  2. AI-infused security: Robust defense by bridging theory and practice

    … with strong theoretical guarantees in the agnostic learning setting. (3) Using AI to Protect Enterprise and Society: We show how AI can be used in real enterprise environment with a novel framework called Virtual Product that predicts potential enterprise cyber threats. Beyond …

    gatech Repository record for AI-infused security: Robust defense by bridging theory and practice (opens in a new tab)

  3. Efficient learning machines

    … capabilities and matters. The field of Machine Learning itself is shaped by the ever-increasing amount of data and computing power, creating new challenges as well as paving the way for new opportunities. This thesis is on adapting learning-based machines to these emerging prospects. In …

    tu-berlin Repository record for Efficient learning machines (opens in a new tab)

  4. Exploiting structures of trajectory optimization for efficient optimal motion planning

    … MoE models that outperform the discontinuity-agnostic learning pipeline using standard neural networks. The trajectory learning approach is efficient since it only requires model evaluation to compute a trajectory, reliable since the MoE model is accurate after correctly handling …

    uiuc Repository record for Exploiting structures of trajectory optimization for efficient optimal motion planning (opens in a new tab)