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Meir Feder

3 papers · 2020–2021 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+1 more ↓ 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird ❓ The Questioner
πŸ“ˆ Trend Setter

Venues

NeurIPS (2) COLT (1)

Top co-authors

Tal Hassner (1) Assaf Dauber (1) Yury Polyanskiy (1) Koby Bibas (1) Roi Livni (1) Tomer Koren (1)

Research topics

Machine Learning (3) Optimization & Theory Β· Machine Learning (3) Core Methods (2) Artificial Intelligence (1) Deep Learning (1) Mathematics & Optimization (1) Core AI (1) Learning Types (1) Mathematics (1) Optimization & Theory Β· Deep Learning (1)

Keywords

regret bound (2) model selection (1) density estimation (1) pac learning (1) generalization error (1) stochastic convex optimization (1) optimization theory (1) sequential prediction (1) cumulative regret (1) implicit regularization (1) implicit bia (1) out-of-distribution detection (1) generalization theory (1) neural network (1) predictive normalized maximum likelihood (1) stochastic gradient descent (1) misspecified model (1)

Papers

Sequential prediction under log-loss and misspecification COLT 2021 Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection NeurIPS 2021 Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study NeurIPS 2020