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A Stochastic Approximation Method
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A Stochastic Approximation Method (1985)A Stochastic Approximation MethodIntensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild (2023)Intensity-Aware Loss for Dyna…Accurate Fairness: Improving Individual Fairness without Trading Accuracy (2023)Accurate Fairness: Improving …SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech (2022)SpeechFormer: A Hierarchical …Stochastic gradient descent for semilinear elliptic equations with uncertainties (2020)Stochastic gradient descent f…Is Deep Learning for Image Recognition Applicable to Stock Market Prediction? (2019)Is Deep Learning for Image Re…An Online Convex Optimization Approach to Proactive Network Resource Allocation (2017)An Online Convex Optimization…A Model Reference Adaptive Search Method for Stochastic Global Optimization (2008)A Model Reference Adaptive Se…A Stochastic Approximation Method (1951)Multivariate stochastic approximation using a simultaneous perturbation gradient approximation (1992)Finite-time Analysis of the Multiarmed Bandit Problem (2002)A Review of Random Search Methods (2014)Efficient subset selection for the expected opportunity cost (2015)Penalty Function with Memory for Discrete Optimization via Simulation with Stochastic Constraints (2015)A Random Walk Down Wall Street (1973)Deep learning with long short-term memory networks for financial market predictions (2017)Financial quantitative investment using convolutional neural network and deep learning technology (2019)A Stock Closing Price Prediction Model Based on CNN‐BiSLSTM (2021)Framework for Predicting and Modeling Stock Market Prices Based on Deep Learning Algorithms (2022)A Proof for the Queuing Formula: L = λ W (1961)Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks (1992)A Virtual-Queue-Based Algorithm for Constrained Online Convex Optimization With Applications to Data Center Resource Allocation (2018)Bandit Convex Optimization for Scalable and Dynamic IoT Management (2018)Online Convex Optimization With Time-Varying Constraints and Bandit Feedback (2018)Stochastic Finite Elements: A Spectral Approach (1991)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)IEMOCAP: interactive emotional dyadic motion capture database (2008)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)DST: Deformable Speech Transformer for Emotion Recognition (2023)Multimodal Sensing for Depression Risk Detection: Integrating Audio, Video, and Text Data (2024)Text-guided multimodal depression detection via cross-modal feature reconstruction and decomposition (2024)The expression of the emotions in man and animals. (1872)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Transformer-Based Multimodal Emotional Perception for Dynamic Facial Expression Recognition in the Wild (2023)From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos (2024)GPT-4V with emotion: A zero-shot benchmark for Generalized Emotion Recognition (2024)Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)Specification overfitting in artificial intelligence (2024)
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Cited by

  • 2017An Online Convex Optimization Approach to Proactive Network Resource Allocation236 cited
  • 2019Is Deep Learning for Image Recognition Applicable to Stock Market Prediction?116 cited
  • 2023Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild81 cited
  • 2022SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech69 cited
  • 2008A Model Reference Adaptive Search Method for Stochastic Global Optimization60 cited
  • 2023Accurate Fairness: Improving Individual Fairness without Trading Accuracy22 cited
  • 2020Stochastic gradient descent for semilinear elliptic equations with uncertainties9 cited

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