On-device research index

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.

168,695 papers · 148 categories

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3 results for “X-risk”

LibAUC: A Deep Learning Library for X-Risk Optimizationcs.LG

LibAUC optimizes X-risks for AI tasks like CID, LTR, and CLR.

problem Optimizing risk functions in AI for tasks like classification, ranking, and representation learning.

method Developed a new mini-batch pipeline for deep X-risk optimization (DXO) algorithms.

result Achieved great success in solving CID, LTR, and CLR tasks with faster convergence and scalable performance.

X-risk optimization deep learning mini-batch risk functions AI tasks

2023-06-05abs ↗pdf ↗

Algorithmic Foundations of Empirical X-risk Minimizationcs.LG

New framework for optimizing machine learning risks.

problem Optimizing non-decomposable machine learning objectives.

method Empirical X-risk minimization (EXM) framework with algorithmic techniques.

result Developed algorithms for solving EXM with smooth non-convex objectives.

machine learning empirical risk minimization non-decomposable objectives algorithmic foundations X-risk

2022-06-01abs ↗pdf ↗

FeDXL: Provable Federated Learning for Deep X-Risk Optimizationcs.LG

FeDXL tackles federated learning for X-risk optimization.

problem Optimizing a family of X-risks with federated learning, where existing algorithms are not applicable.

method Active-passive decomposition framework, federated averaging and merging, novel theoretical analysis.

result FeDXL algorithms for linear and nonlinear

f

are developed, with established complexities and improved performance.

federated learning X-risk optimization active-passive decomposition federated averaging federated merging

2022-10-26abs ↗pdf ↗