Matthew Fahrbach
10 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (17)
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Keyword Collector
(56)
Venues
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Research topics
Keywords
tucker decomposition
(2)
tensor decomposition
(2)
feature selection
(1)
feature embedding
(1)
query complexity
(1)
graph embedding
(1)
cardinality constraint
(1)
submodular maximization
(1)
distribution shift
(1)
linear regression
(1)
online linear regression
(1)
kronecker product
(1)
tensor completion
(1)
numerical linear algebra
(1)
attention mechanism
(1)
regret bound
(1)
greedy algorithm
(1)
approximation algorithm
(1)
node classification
(1)
link prediction
(1)
Papers
Fast Tensor Completion via Approximate Richardson Iteration
ICML 2025
Practical Performance Guarantees for Pipelined DNN Inference
ICML 2024
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
ICML 2024
Approximately Optimal Core Shapes for Tensor Decompositions
ICML 2023
Learning Rate Schedules in the Presence of Distribution Shift
ICML 2023
Sequential Attention for Feature Selection
ICLR 2023
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
NeurIPS 2023
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
NeurIPS 2022
Faster Graph Embeddings via Coarsening
ICML 2020
Non-monotone Submodular Maximization with Nearly Optimal Adaptivity and Query Complexity
ICML 2019