Matthew Fahrbach
10 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (11) π Interdisciplinary Bridge
π
Conference Polyglot
(3)
π
Academic Marathon
(6)
π
Triple Crown
π
Century Club
(10)
Conferences
ICML (7)
NIPS (2)
ICLR (1)
Top co-authors
Keywords
tensor decomposition
(2)
tucker decomposition
(2)
feature embedding
(1)
graph embedding
(1)
online linear regression
(1)
cardinality constraint
(1)
distribution shift
(1)
query complexity
(1)
kronecker product
(1)
numerical linear algebra
(1)
submodular maximization
(1)
regret bound
(1)
approximation algorithm
(1)
node classification
(1)
stochastic differential equation
(1)
learning rate schedule
(1)
graph coarsening
(1)
leverage score sampling
(1)
alternating least square
(1)
knapsack problem
(1)
Papers
Fast Tensor Completion via Approximate Richardson Iteration
ICML 2025
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
ICML 2024
Practical Performance Guarantees for Pipelined DNN Inference
ICML 2024
Approximately Optimal Core Shapes for Tensor Decompositions
ICML 2023
Learning Rate Schedules in the Presence of Distribution Shift
ICML 2023
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
NIPS 2023
Sequential Attention for Feature Selection
ICLR 2023
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
NIPS 2022
Faster Graph Embeddings via Coarsening
ICML 2020
Non-monotone Submodular Maximization with Nearly Optimal Adaptivity and Query Complexity
ICML 2019