← Authors

Afshin Rostamizadeh

22 papers · 2007–2024 · 5 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (10) πŸ—ΊοΈ Taxonomy Completionist (20) 🧭 Keyword Pioneer πŸƒ Academic Marathon (17) 🐣 Hot Topic Early Bird πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ† Keyword Champion πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club (22) πŸ—ƒοΈ Keyword Collector (52)

Conferences

NIPS (9) ICML (5) ICLR (4) JMLR (3) AISTATS (1)

Top co-authors

Mehryar Mohri (7) Giulia DeSalvo (5) Kareem Amin (4) Sanjiv Kumar (4) Corinna Cortes (4) Umar Syed (2) Vahab Mirrokni (2) Heinrich Jiang (2) Gui Citovsky (2) Dmitry Storcheus (1)

Keywords

label complexity (4) learning theory (3) generalization bound (3) non-iid processes (2) kernel methods (2) kernel learning (2) regret bound (2) rademacher complexity (2) strategic buyer (2) algorithmic stability (2) active learning (2) distributed algorithm (2) multiple kernel learning (2) kernel ridge regression (2) repeated auction (2) mechanism design (2) non-iid learning (1) multi-source learning (1) theoretical analysis (1) hyperparameter optimization (1)

Papers

DistillSpec: Improving Speculative Decoding via Knowledge Distillation ICLR 2024
Leveraging Importance Weights in Subset Selection ICLR 2023
Churn Reduction via Distillation ICLR 2022
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms ICLR 2021
Active Covering ICML 2021
Batch Active Learning at Scale NIPS 2021
Learning with Labeling Induced Abstentions NIPS 2021
Understanding the Effects of Batching in Online Active Learning AISTATS 2020
An Analysis of SVD for Deep Rotation Estimation NIPS 2020
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling ICML 2019
Categorical Feature Compression via Submodular Optimization ICML 2019
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization JMLR 2018
Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016
Repeated Contextual Auctions with Strategic Buyers NIPS 2014
Multi-Class Classification with Maximum Margin Multiple Kernel ICML 2013
Learning Prices for Repeated Auctions with Strategic Buyers NIPS 2013
Algorithms for Learning Kernels Based on Centered Alignment JMLR 2012
Stability Bounds for Stationary Ο†-mixing and Ξ²-mixing Processes JMLR 2010
Learning Non-Linear Combinations of Kernels NIPS 2009
Rademacher Complexity Bounds for Non-I.I.D. Processes NIPS 2008
Domain Adaptation with Multiple Sources NIPS 2008
Stability Bounds for Non-i.i.d. Processes NIPS 2007