📈 Optimization - jhcha.oyo · Scour

When Do Fewer Coordinates Suffice in DP-SGD?

🤖Machine Learning Academic

A Global Convergence Analysis of Consensus ALADIN for Convex Optimization

⚛️Physics Academic

Near-Optimal Decentralized Stochastic Convex Optimization over Networks

🕸️Network Effects Academic

Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods

🧠Deep Learning Academic

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

🤖Machine Learning Academic

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

🤖AI Academic

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

🤖Machine Learning Academic

Statistical and Numerical Convergence in Stochastic Equilibrium

📊Econometrics Academic

Reinforcement Learning for Flow-Matching Policies with Density Transport

🎮Reinforcement Learning Academic

Fog of Love: Engineering Virtuous Agent Behavior with Affinity-based Reinforcement Learning in a Game Environment

🎮Reinforcement Learning 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

Biweighted Poisson Subsampling for Convoluted Rank Regression with Massive Data

📊Statistics Academic

Prediction Under Imperfect Compression: A Theory of Approximate MDL

⚡Quantization Academic

Closed-Form Spectral Regularization for Multi-Task Model Merging

🧠Neural Networks Academic

PC Layer: Polynomial Weight Preconditioning for Improving LLM Pre-Training

🧠Neural Networks Academic

Optimizing Energy-based Neural Network Training with Coherent Ising Machine

🤖AI Academic

Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning

🎮Reinforcement Learning Academic

Variational Proximal Policy Optimization

🎯RLHF Academic

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

🧠Neural Networks Academic

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