Matthew Fahrbach

10 papers · 2019–2025 · 3 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🏃 Academic Marathon (6) 👑 Triple Crown 💎 Century Club (10)

Conferences

ICML (7) NIPS (2) ICLR (1)

Top co-authors

Vahab Mirrokni (5) Gang Fu (3) Mehrdad Ghadiri (3) Adel Javanmard (2) Morteza Zadimoghaddam (1) Lichan Hong (1) Taisuke Yasuda (1) Richard Peng (1) Aaron Archer (1) Sushant Sachdeva (1)

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