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09/14/2023
Stable iterative refinement algorithms for solving linear systems
Iterative refinement (IR) is a popular scheme for solving a linear syste...
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06/08/2023
Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes
Transfer learning is a useful technique for achieving improved performan...
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09/19/2022
Towards Quantum Advantage on Noisy Quantum Computers
Topological data analysis (TDA) is a powerful technique for extracting c...
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02/23/2022
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality
We study the problem of transfer learning, observing that previous effor...
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08/05/2021
Quantum Topological Data Analysis with Linear Depth and Exponential Speedup
Quantum computing offers the potential of exponential speedups for certa...
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05/28/2019
A Control-Model-Based Approach for Reinforcement Learning
We consider a new form of model-based reinforcement learning methods tha...
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04/10/2019
Optimisation of stochastic networks with blocking: a functional-form approach
Many stochastic networks encountered in practice exhibit some kind of bl...
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12/18/2018
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach
With deep neural networks providing state-of-the-art machine learning mo...
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05/21/2018