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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.

169,291 papers · 148 categories

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3 results for “MIF”

Causal Inference with Unstructured Treatmentsstat.ML

Proposes a new method to estimate causal effects of unstructured treatments.

problem Estimating causal effects of unstructured treatments like text or images.

method Maximally Influential Feature (MIF) method to identify key features influencing outcomes.

result Developed algorithms to estimate and apply the MIF to improve outcomes in various contexts.

causal inference unstructured treatments MIF feature-scoring function nudging algorithm

2026-08-01abs ↗pdf ↗

Model-Informed Flows for Bayesian Inferencecs.LG

New MIF architecture improves posterior approximations in Bayesian models.

problem Challenges in variational inference for complex hierarchical models.

method Combines VIP and autoregressive flow with prior information and hierarchical ordering.

result Empirically, MIF delivers tighter posterior approximations and state-of-the-art performance.

Bayesian inference Variational inference Hierarchical models Flows Prior information

2025-05-30abs ↗pdf ↗

Multi-kernel learning of deep convolutional features for action recognitioncs.CV

Improved deep learning for action recognition using multi-kernel SVM and deep neural networks.

problem Challenges in video understanding, especially action recognition, despite deep neural networks' success in image understanding.

method Combining multi-kernel SVM with a multi-stream deep convolutional neural network, including hand-crafted features.

result Achieved close to state-of-the-art performance on the HMDB-51 dataset.

action recognition deep learning multi-kernel SVM deep neural networks HMDB-51

2017-07-21abs ↗pdf ↗