AR
Afshin Rostamizadeh
cs.LGstat.MLcs.AIcs.CLcs.DScs.ITmath.ITcs.CVcs.DBcs.DC
On Valency
published · living versionsW_u7fa5rax·v1 · currentpublished
MLSys: The New Frontier of Machine Learning Systems
with Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen +64
1 version
Preprints & journals
34 papers in the corpus · 2008–2025This Time is Different: An Observability Perspective on Time Series Foundation Models2505.14766v2 · Ben Cohen, Emaad Khwaja, Youssef Doubli et al.2025 · 2 citationsarXiv
Analyzing Similarity Metrics for Data Selection for Language Model Pretraining2502.02494v3 · Dylan Sam, Ayan Chakrabarti, Afshin Rostamizadeh et al.2025 · 0 citationsarXiv
SoftSRV: Learn to Generate Targeted Synthetic Data2410.16534v3 · Giulia DeSalvo, Jean-Fracois Kagy, Lazaros Karydas et al.2024 · 0 citationsarXiv
A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs2410.18779v1 · Ankit Singh Rawat, Veeranjaneyulu Sadhanala, Afshin Rostamizadeh et al.2024 · 1 citationarXiv
Algorithms for Learning Kernels Based on Centered Alignment1203.0550v3 · Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh2012 · 384 citationsJournal of Machine Learning Research 13 (2012) 795-828
DistillSpec: Improving Speculative Decoding via Knowledge Distillation2310.08461v2 · Yongchao Zhou, Kaifeng Lyu, Ankit Singh Rawat et al.2023 · 4 citationsarXiv
SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection2401.13160v1 · Ke Ye, Heinrich Jiang, Afshin Rostamizadeh et al.2024 · 0 citationsarXiv
Domain Adaptation: Learning Bounds and Algorithms0902.3430v3 · Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh2009 · 510 citationsarXiv
Leveraging Importance Weights in Subset Selection2301.12052v1 · Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar et al.2023 · 0 citationsarXiv
Is margin all you need? An extensive empirical study of active learning on tabular data2210.03822v1 · Dara Bahri, Heinrich Jiang, Tal Schuster et al.2022 · 4 citationsarXiv
Churn Reduction via Distillation2106.02654v2 · Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri et al.2021 · 2 citationsICLR 2022
Greedy Column Subset Selection: New Bounds and Distributed Algorithms1605.08795v2 · Jason Altschuler, Aditya Bhaskara, Gang Fu et al.2016 · 31 citationsProceedings of The 33rd International Conference on Machine Learning, PMLR 48:2539-2548, 2016
Batch Active Learning at Scale2107.14263v1 · Gui Citovsky, Giulia DeSalvo, Claudio Gentile et al.2021 · 47 citationsarXiv
Active Covering2106.02552v1 · Heinrich Jiang, Afshin Rostamizadeh2021 · 0 citationsarXiv
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms2010.05273v4 · Maruan Al-Shedivat, Jennifer Gillenwater, Eric Xing et al.2020 · 47 citationsarXiv
An Analysis of SVD for Deep Rotation Estimation2006.14616v1 · Jake Levinson, Carlos Esteves, Kefan Chen et al.2020 · 41 citationsarXiv
A System for Massively Parallel Hyperparameter Tuning1810.05934v5 · Liam Li, Kevin Jamieson, Afshin Rostamizadeh et al.2018 · 224 citationsConference on Machine Learning and Systems 2020
Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels1912.00594v2 · Shuang Song, David Berthelot, Afshin Rostamizadeh2019 · 18 citationsarXiv
MLSys: The New Frontier of Machine Learning Systems1904.03257v3 · Alexander Ratner, Dan Alistarh, Gustavo Alonso et al.2019 · 20 citationsarXivon Valency
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling1806.10175v4 · Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi et al.2018 · 43 citationsarXiv
The Practical Challenges of Active Learning: Lessons Learned from Live Experimentation1907.00038v1 · Jean-Francois Kagy, Tolga Kayadelen, Ji Ma et al.2019 · 5 citationsarXiv
Categorical Feature Compression via Submodular Optimization1904.13389v1 · MohammadHossein Bateni, Lin Chen, Hossein Esfandiari et al.2019 · 6 citationsarXiv
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization1603.06560v4 · Lisha Li, Kevin Jamieson, Giulia DeSalvo et al.2016 · 1,840 citationsJournal of Machine Learning Research 18 (2018) 1-52
Foundations of Coupled Nonlinear Dimensionality Reduction1509.08880v2 · Mehryar Mohri, Afshin Rostamizadeh, Dmitry Storcheus2015 · 5 citationsarXiv
Learning Prices for Repeated Auctions with Strategic Buyers1311.6838v1 · Kareem Amin, Afshin Rostamizadeh, Umar Syed2013 · 71 citationsarXivon Valency
Perceptron Mistake Bounds1305.0208v2 · Mehryar Mohri, Afshin Rostamizadeh2013 · 11 citationsarXiv
Multiple Source Adaptation and the Renyi Divergence1205.2628v1 · Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh2012 · 72 citationsarXiv
L2 Regularization for Learning Kernels1205.2653v1 · Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh2012 · 378 citationsarXiv
Ensembles of Kernel Predictors1202.3712v1 · Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh2012 · 5 citationsarXiv
Online and Batch Learning Algorithms for Data with Missing Features1104.0729v4 · Afshin Rostamizadeh, Alekh Agarwal, Peter Bartlett2011 · 2 citations27th Conference on Uncertainty in Artificial Intelligence (UAI 2011)
Matrix Coherence and the Nystrom Method1004.2008v1 · Ameet Talwalkar, Afshin Rostamizadeh2010 · 11 citationsarXiv
New Generalization Bounds for Learning Kernels0912.3309v1 · Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh2009 · 8 citationsarXiv
Sample Selection Bias Correction Theory0805.2775v1 · Corinna Cortes, Mehryar Mohri, Michael Riley et al.2008 · 277 citationsarXiv
Stability Bound for Stationary Phi-mixing and Beta-mixing Processes0811.1629v1 · Mehryar Mohri, Afshin Rostamizadeh2008 · 0 citationsarXiv
Career total: 73 works. 34 are in this corpus.
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