Dimitris Kalimeris

3 papers · 2018–2019 · 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

ICML (2) NeurIPS (1)

Top co-authors

Yaron Singer (2) Gal Kaplun (2) Karthik Subbian (1) Boaz Barak (1) Tristan Yang (1) Benjamin Edelman (1) Preetum Nakkiran (1) Udi Weinsberg (1) Haofeng Zhang (1)

Research topics

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

Keywords

social network (2) independent cascade model (2) graph theory (1) hyperparameter optimization (1) graph learning (1) sample complexity (1) network analysis (1) mutual information (1) influence maximization (1) linear classifier (1) diffusion model (1) classification task (1) multiplicative weight update (1) overparameterized regime (1) neural network (1) stochastic gradient descent (1) hyperparametric model (1) robust optimization (1)

Papers

Robust Influence Maximization for Hyperparametric Models ICML 2019 SGD on Neural Networks Learns Functions of Increasing Complexity NeurIPS 2019 Learning Diffusion using Hyperparameters ICML 2018