Exploiting Memorization: Understanding the CLM Objective for Knowledge Encoding in LLMs Post date October 24, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In causal-language-modeling, contextual-knowledge, deep-learning, llms, loss-function, memorization, parametric-knowledge, transformer-models
The Evolution of Econometric Modeling: A Guide to Influential Papers on Panel Data Post date September 10, 2025 Post author By Loss Function Technology Post categories In bayesian-inference, econometrics, empirical-bayes, financial-modeling, income-dynamics, loss-function, panel-data, statistical-modeling
Modeling Income Trajectories: An Empirical Bayes Approach to Panel Data Post date September 9, 2025 Post author By Loss Function Post categories In econometrics, empirical-bayes, gaussian, heterogeneity, income-dynamics, loss-function, nplme, what-is-loss-function
Modeling Income Trajectories: An Empirical Bayes Approach to Panel Data Post date September 9, 2025 Post author By Loss Function Post categories In econometrics, empirical-bayes, gaussian, heterogeneity, income-dynamics, loss-function, nplme, what-is-loss-function
Beyond Gaussian Mixtures: Applying Empirical Bayes to Discrete Data Problems Post date September 9, 2025 Post author By Loss Function Post categories In actuarial-science, binomial-mixture-models, discrete-data, educational-testing, loss-function, nonparametric-methods, poisson-mixture-models, statistical-modeling
Beyond Gaussian Mixtures: Applying Empirical Bayes to Discrete Data Problems Post date September 9, 2025 Post author By Loss Function Post categories In actuarial-science, binomial-mixture-models, discrete-data, educational-testing, loss-function, nonparametric-methods, poisson-mixture-models, statistical-modeling
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