Dmitry Storcheus

5 papers · 2018–2021 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

NeurIPS (4) ICML (1)

Top co-authors

Mehryar Mohri (4) Corinna Cortes (4) Scott Yang (1) Javier Gonzalvo (1) Sujay Sanghavi (1) Daniel Holtmann-Rice (1) Felix Yu (1) Alex Dimakis (1) Ananda Theertha Suresh (1) Afshin Rostamizadeh (1)

Research topics

Machine Learning (5) Core Methods (4) Optimization & Theory (4) Learning Types (2) Artificial Intelligence (1) Mathematics & Optimization (1) Learning Paradigms · Artificial Intelligence (1) Learning Paradigms · Machine Learning (1) Optimization (1)

Keywords

ensemble learning (2) rademacher complexity (2) multi-source learning (1) gradient boosting (1) structured output learning (1) gradient computation (1) structural risk minimization (1) multi-objective optimization (1) ensemble method (1) generalization guarantee (1) gradient unrolling (1) weighted automaton (1) sparse signal (1) ensemble predictor (1) measurement matrix (1) extreme multi-label classification (1) mixture weight (1) l1 decoder (1) multiple source domain (1) domain-weighted combination (1)

Papers

Boosting with Multiple Sources NeurIPS 2021 Agnostic Learning with Multiple Objectives NeurIPS 2020 Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling ICML 2019 Regularized Gradient Boosting NeurIPS 2019 Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses NeurIPS 2018