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05/16/2020
Achieving Online Regression Performance of LSTMs with Simple RNNs
Recurrent Neural Networks (RNNs) are widely used for online regression d...
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03/07/2020
RNN-based Online Learning: An Efficient First-Order Optimization Algorithm with a Convergence Guarantee
We investigate online nonlinear regression with continually running recu...
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11/25/2019
Stability of the Decoupled Extended Kalman Filter Learning Algorithm in LSTM-Based Online Learning
We investigate the convergence and stability properties of the decoupled...
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11/25/2019
Stability of the Decoupled Extended Kalman Filter in the LSTM-Based Online Learning
We investigate the convergence and stability properties of the decoupled...
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11/25/2019
Minimax Optimal Algorithms for Adversarial Bandit Problem with Multiple Plays
We investigate the adversarial bandit problem with multiple plays under ...
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10/22/2019
