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02/03/2023
Detecting Reddit Users with Depression Using a Hybrid Neural Network
Depression is a widespread mental health issue, affecting an estimated 3...
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07/04/2022
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography
Accurate automated analysis of electroencephalography (EEG) would largel...
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06/15/2022
Streaming non-autoregressive model for any-to-many voice conversion
Voice conversion models have developed for decades, and current mainstre...
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03/31/2022
Data Sampling Affects the Complexity of Online SGD over Dependent Data
Conventional machine learning applications typically assume that data sa...
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01/29/2022
The HCCL-DKU system for fake audio generation task of the 2022 ICASSP ADD Challenge
The voice conversion task is to modify the speaker identity of continuou...
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12/22/2021
Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning
Alternating gradient-descent-ascent (AltGDA) is an optimization algorith...
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10/14/2021
Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent
The gradient descent-ascent (GDA) algorithm has been widely applied to s...
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09/08/2021
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
Actor-critic (AC) algorithms have been widely adopted in decentralized m...
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03/30/2021
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
Greedy-GQ is a value-based reinforcement learning (RL) algorithm for opt...
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03/24/2021
Multi-Agent Off-Policy TD Learning: Finite-Time Analysis with Near-Optimal Sample Complexity and Communication Complexity
The finite-time convergence of off-policy TD learning has been comprehen...
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02/09/2021
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
The gradient descent-ascent (GDA) algorithm has been widely applied to s...
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10/24/2020
Neural Networked Assisted Tree Search for the Personnel Rostering Problem
The personnel rostering problem is the problem of finding an optimal way...
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09/29/2020
DUMP: A Dummy-Point-Based Framework for Histogram Estimation in Shuffle Model
In Central Differential Privacy (CDP), there is a trusted analyst who co...
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05/15/2020
Momentum with Variance Reduction for Nonconvex Composition Optimization
Composition optimization is widely-applied in nonconvex machine learning...
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02/10/2018