📈 Optimization - jhcha.oyo · Scour

Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States

🧠Deep Learning Academic

Pseudospectral Bounds for Transient Amplification in Coupled Gradient Descent

🤖Machine Learning Academic

Noise-Adaptive High-Probability Regret Bounds for Online Convex Optimization

🎲Stochastic Processes Academic

Characterizing Learning Dynamics under Relative Reparameterization of Singular Models

🤖AI Academic

Revisiting Privacy Amplification by Subsampling in Selective Release DPSGD

🤖Machine Learning Academic

Fourier fractal dimension to predict the generalization of deep neural networks

🤖AI Academic

A Global Convergence Analysis of Consensus ALADIN for Convex Optimization

⚛️Physics Academic

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

🧠Neural Networks Academic

Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods

🧠Deep Learning Academic

Gradient descent at the Edge of Stability: free energy model and kinetic description of the two-layer network

🧠Neural Networks Academic

Hybridizing Equilibrium Propagation with Ising Machines for Efficient Energy-Based Learning

🤖AI Academic

When Do Fewer Coordinates Suffice in DP-SGD?

🤖Machine Learning Academic

Statistical and Numerical Convergence in Stochastic Equilibrium

📊Econometrics Academic

Reinforcement Learning for Flow-Matching Policies with Density Transport

🎮Reinforcement Learning Academic

Near-Optimal Decentralized Stochastic Convex Optimization over Networks

🕸️Network Effects Academic

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

🤖Machine Learning Academic

A Study of Parallel Continuous Local Search

🧮Complexity Theory Academic

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum

🤖Machine Learning Academic

Biweighted Poisson Subsampling for Convoluted Rank Regression with Massive Data

📊Statistics Academic

Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway

🤖Machine Learning Academic

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