Dmitry Storcheus
5 papers · 2018–2021 · 2 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (2) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
NIPS (4)
ICML (1)
Top co-authors
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
NIPS 2021
Agnostic Learning with Multiple Objectives
NIPS 2020
Regularized Gradient Boosting
NIPS 2019
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
ICML 2019
Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses
NIPS 2018