Search Results for author:
Found 9 papers, 0 papers with code
Efficient Quantum Circuits for Machine Learning Activation Functions including Constant T-depth ReLU
In recent years, Quantum Machine Learning (QML) has increasingly captured the interest of researchers.
Risk-averse Learning with Non-Stationary Distributions
Considering non-stationary environments in online optimization enables decision-maker to effectively adapt to changes and improve its performance over time.
Unveiling the Potential of Robustness in Evaluating Causal Inference Models
The growing demand for personalized decision-making has led to a surge of interest in estimating the Conditional Average Treatment Effect (CATE).
Infinite-horizon optimal scheduling for feedback control
Moreover, by the diagonal system matrix assumption, the optimal scheduling policy is shown to be of threshold type.
Multimodal Short Video Rumor Detection System Based on Contrastive Learning
With the rise of short video platforms as prominent channels for news dissemination, major platforms in China have gradually evolved into fertile grounds for the proliferation of fake news.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing
We adopt the concept of field Kalman filtering, where the dual estimation problem is decomposed into a fast state estimation process and a computationally expensive parameter estimation process.
Policy Evaluation in Distributional LQR
Distributional reinforcement learning (DRL) enhances the understanding of the effects of the randomness in the environment by letting agents learn the distribution of a random return, rather than its expected value as in standard RL.
Risk and return prediction for pricing portfolios of non-performing consumer credit
We design a system for risk-analyzing and pricing portfolios of non-performing consumer credit loans.
Value of information in networked control systems subject to delay
In this paper, we study the trade-off between the transmission cost and the control performance of the multi-loop networked control system subject to network-induced delay.
