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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,181 papers · 148 categories

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2 results for “PDHG”

Auto-conditioned primal-dual hybrid gradient method and alternating direction method of multipliersmath.OC

New methods solve saddle point problems without line search.

problem Solving saddle point problems efficiently and adaptively.

method Auto-conditioned primal-dual hybrid gradient (AC-PDHG) and auto-conditioned ADMM (AC-ADMM) methods.

result Methods achieve optimal complexity and convergence guarantees.

saddle point problems primal-dual methods ADMM line search optimality gap

2024-10-02abs ↗pdf ↗

On the Iteration Complexity Analysis of Stochastic Primal-Dual Hybrid Gradient Approach with High Probabilitycs.LG

New PDHG approach tackles high-cost stochastic minimization with linear composite terms.

problem High cost and lack of closed-form proximal mapping for composite regularization terms.

method Stochastic PDHG with data point sampling, high-probability iteration complexity analysis.

result High-probability convergence analysis supports practical performance.

stochastic optimization PDHG linear composite iteration complexity high probability

2018-01-22abs ↗pdf ↗