Summary of Soft Actor-critic with Beta Policy Via Implicit Reparameterization Gradients, by Luca Della Libera
Soft Actor-Critic with Beta Policy via Implicit Reparameterization Gradientsby Luca Della LiberaFirst submitted to arxiv…
Summary of Optimization Hyper-parameter Laws For Large Language Models, by Xingyu Xie et al.
Optimization Hyper-parameter Laws for Large Language Modelsby Xingyu Xie, Kuangyu Ding, Shuicheng Yan, Kim-Chuan Toh,…
Summary of Learning Joint Models Of Prediction and Optimization, by James Kotary et al.
Learning Joint Models of Prediction and Optimizationby James Kotary, Vincenzo Di Vito, Jacob Cristopher, Pascal…
Summary of Notes on Sampled Gaussian Mechanism, by Nikita P. Kalinin
Notes on Sampled Gaussian Mechanismby Nikita P. KalininFirst submitted to arxiv on: 6 Sep 2024CategoriesMain:…
Summary of Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Training, by Yuhan Ma et al.
Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Trainingby Yuhan…
Summary of A Sample Efficient Alternating Minimization-based Algorithm For Robust Phase Retrieval, by Adarsh Barik et al.
A Sample Efficient Alternating Minimization-based Algorithm For Robust Phase Retrievalby Adarsh Barik, Anand Krishna, Vincent…
Summary of Gaussian-mixture-model Q-functions For Reinforcement Learning by Riemannian Optimization, By Minh Vu and Konstantinos Slavakis
Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimizationby Minh Vu, Konstantinos SlavakisFirst submitted to arxiv…
Summary of Exploiting the Data Gap: Utilizing Non-ignorable Missingness to Manipulate Model Learning, by Deniz Koyuncu et al.
Exploiting the Data Gap: Utilizing Non-ignorable Missingness to Manipulate Model Learningby Deniz Koyuncu, Alex Gittens,…
Summary of Approximating Metric Magnitude Of Point Sets, by Rayna Andreeva et al.
Approximating Metric Magnitude of Point Setsby Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik…
Summary of Learning to Solve Combinatorial Optimization Under Positive Linear Constraints Via Non-autoregressive Neural Networks, by Runzhong Wang et al.
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networksby Runzhong Wang,…