基本信息
浏览量:10
职业迁徙
个人简介
Tensor networks, Numerical Optimization, and Reinforcement Learning/Evolutionary Algorithms, and Computational Finance/Operational Research:
– Adapting and revisiting matrix and tensor methods for Optimization tasks.
- Applications include Reinforcement Learning and Structural Topology Optimization
- Developing distributed pipelines for large-scale experiments.
- Implemented bound constraint optimization for ES. Contributed to Open Source (https://github.com/hubbs5/or-gym)
Tools : Numpy, Scipy, Mujoco, Ray, Dask, nevergrad, maxvolpy, estool, py-cma (cma-es) openai gym, stable baselines
– Extended classical mathematical finance multiplicative updates algorithm for online portfolio selection based on ideas from information geometry
Tools: Universal Portfolios, Cython, Numba, Numpy, Pandas, Joblib
Deep Learning and Model Compression: Neural network model compression using robust tensor decomposition. Conducted large-scale model-compression experiments with Pascal-VOC
semantic segmentation datasets. Co-authored European Computer Vision Conferece paper
Tools : Pytorch, tensorly, numpy, bash
– Adapting and revisiting matrix and tensor methods for Optimization tasks.
- Applications include Reinforcement Learning and Structural Topology Optimization
- Developing distributed pipelines for large-scale experiments.
- Implemented bound constraint optimization for ES. Contributed to Open Source (https://github.com/hubbs5/or-gym)
Tools : Numpy, Scipy, Mujoco, Ray, Dask, nevergrad, maxvolpy, estool, py-cma (cma-es) openai gym, stable baselines
– Extended classical mathematical finance multiplicative updates algorithm for online portfolio selection based on ideas from information geometry
Tools: Universal Portfolios, Cython, Numba, Numpy, Pandas, Joblib
Deep Learning and Model Compression: Neural network model compression using robust tensor decomposition. Conducted large-scale model-compression experiments with Pascal-VOC
semantic segmentation datasets. Co-authored European Computer Vision Conferece paper
Tools : Pytorch, tensorly, numpy, bash
研究兴趣
论文共 7 篇作者统计合作学者相似作者
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arXiv (Cornell University) (2017)
作者统计
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D-Core
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