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.
Max-Entropy approach improves variational inference for complex posterior distributions.
Maximum entropy distributions with discrete support in dimensions arise in machine learning, statistics, information theory, and theoretical computer science. While structural and computational properties of max-entropy distributions have been extensively studied, basic questions such as: Do max-entropy distributio…
The paper analyzes RLHF with human feedback and provides convergence results for MLE and pessimistic MLE.
New method reduces false positives in weakly supervised pixel-level localization.
New method defends against neural backdoors using generative modeling.
In this paper, we present a novel and general framework called {\it Maximum Entropy Discrimination Markov Networks} (MaxEnDNet), which integrates the max-margin structured learning and Bayesian-style estimation and combines and extends their merits. Major innovations of this model include: 1) It generalizes the extant …
EBIL simplifies IL by estimating expert energy as reward, achieving effective performance.
New algorithms speed up inverse reinforcement learning by solving MDPs once.
We define On-Average KL-Privacy and present its properties and connections to differential privacy, generalization and information-theoretic quantities including max-information and mutual information. The new definition significantly weakens differential privacy, while preserving its minimalistic design features such …
Max entropy exploration guides reinforcement learning agents to pursue achievable goals.
The rising volume of datasets has made training machine learning (ML) models a major computational cost in the enterprise. Given the iterative nature of model and parameter tuning, many analysts use a small sample of their entire data during their initial stage of analysis to make quick decisions (e.g., what features o…
Attention to entropic communication improves message decoding and cooperation.