🎯 Optimization Theory - gautam6599123 · Scour

An Ensembled Latent Factor Model via Differential Evolution and Gradient Descent Optimization

📊Optimization Academic

A Global Convergence Analysis of Consensus ALADIN for Convex Optimization

📊Optimization Academic

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization

📊Optimization Academic

Duality for Optimal Multi-Item, Multi-Bidder Auction Design: Revenue Certificates through Deep Learning

🧠Neural Networks Academic

Pseudospectral Bounds for Transient Amplification in Coupled Gradient Descent

📊Optimization Academic

Predictive Coding with Bayesian Priors via Proximal Gradients

📊Optimization Academic

Sketch-to-Layout: A Human-Centric Computational Agent for Constraint-Aware Synthesis of Modular Photobioreactors

🤖AI Academic

Fourier fractal dimension to predict the generalization of deep neural networks

🧠Deep Learning Academic

Sharp First-Order Lower Bounds for Higher-Order Smooth Nonconvex Optimization

📊Optimization Academic

Learning Predictive Control with Deep Koopman Operators for Autonomous Vehicle Motion Planning

🎮Reinforcement Learning Academic

Near-Optimal Decentralized Stochastic Convex Optimization over Networks

📊Optimization Academic

Gridless Full-Space DOA Estimation for STAR-RIS-Assisted Wireless Systems

📊Optimization Academic

Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods

🧠Deep Learning Academic

Revisiting Privacy Amplification by Subsampling in Selective Release DPSGD

📊Optimization Academic

Weighted Sum-Rate Enhancement for Flexible Intelligent Metasurface-Assisted Multicell Systems

📊Optimization Academic

When Do Fewer Coordinates Suffice in DP-SGD?

📊Optimization Academic

Quantum Algorithm for Nonlinear and Stochastic Homogenization via a Young-Measure based Linear Programming Formulation

🎲Probability Theory Academic

Beyond Linear and Overcomplete Regimes: A Mean-Field Analysis of Bottleneck Autoencoders

📊Optimization Academic

When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks

📊Optimization Academic

Theory of learning of high-dimensional controlled non-linear dynamical systems (I): models and methods

🧠Neural Networks Academic

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