Can Karakus

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Venues

CoRR

ISIT

IEEE J. Sel. Areas Inf. Theory

IEEE Trans. Inf. Theory

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent. CoRR (2024)
Can Karakus, Rahul Huilgol, Fei Wu, Anirudh Subramanian, Cade Daniel, Derya Çavdar, Teng Xu, Haohan Chen, Arash Rahnama, Luis Quintela
Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training. CoRR (2021)
Debraj Basu, Deepesh Data, Can Karakus, Suhas N. Diggavi
Qsparse-Local-SGD: Distributed SGD With Quantization, Sparsification, and Local Computations. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Indu Thangakrishnan, Derya Cavdar, Can Karakus, Piyush Ghai, Yauheni Selivonchyk, Cory Pruce
Herring: rethinking the parameter server at scale for the cloud. SC (2020)
Debraj Basu, Deepesh Data, Can Karakus, Suhas N. Diggavi
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations. CoRR (2019)
Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang
Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. ISC (2019)
Derya Çavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. CoRR (2019)
Mehrdad Showkatbakhsh, Can Karakus, Suhas N. Diggavi
Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise. CoRR (2019)
Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin
Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning. J. Mach. Learn. Res. 20 (2019)
Mehrdad Showkatbakhsh, Can Karakus, Suhas N. Diggavi
Differentially Private Consensus-Based Distributed Optimization. CoRR (2019)
Debraj Basu, Deepesh Data, Can Karakus, Suhas N. Diggavi
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations. NeurIPS (2019)
Mehrdad Showkatbakhsh, Can Karakus, Suhas N. Diggavi
Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise. ISIT (2018)
Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin
Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning. CoRR (2018)
Joyson Sebastian, Can Karakus, Suhas N. Diggavi
Approximate Capacity of Fast Fading Interference Channels With no Instantaneous CSIT. IEEE Trans. Commun. 66 (12) (2018)
Can Karakus, Suhas N. Diggavi
Enhancing Multiuser MIMO Through Opportunistic D2D Cooperation. IEEE Trans. Wirel. Commun. 16 (9) (2017)
Can Karakus, Yifan Sun, Suhas N. Diggavi
Encoded distributed optimization. ISIT (2017)
Joyson Sebastian, Can Karakus, Suhas N. Diggavi
Approximate capacity of Fading Gaussian Interference Channels with Point-to-Point codes. CoRR (2017)
Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin
Straggler Mitigation in Distributed Optimization Through Data Encoding. NIPS (2017)
Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin
Straggler Mitigation in Distributed Optimization Through Data Encoding. CoRR (2017)
Joyson Sebastian, Can Karakus, Suhas N. Diggavi
Approximately achieving the feedback interference channel capacity with point-to-point codes. ISIT (2016)
Can Karakus, Suhas N. Diggavi
Enhancing Multiuser MIMO Through Opportunistic D2D Cooperation. CoRR (2016)
Can Karakus, Suhas N. Diggavi
Opportunistic Scheduling for Full-Duplex Uplink-Downlink Networks. CoRR (2015)
Can Karakus, Suhas N. Diggavi
Opportunistic scheduling for full-duplex uplink-downlink networks. ISIT (2015)
Can Karakus, I-Hsiang Wang, Suhas N. Diggavi
Gaussian Interference Channel With Intermittent Feedback. IEEE Trans. Inf. Theory 61 (9) (2015)
Joyson Sebastian, Can Karakus, Suhas N. Diggavi, I-Hsiang Wang
Rate splitting is approximately optimal for fading Gaussian interference channels. Allerton (2015)
Can Karakus, I-Hsiang Wang, Suhas N. Diggavi
Gaussian Interference Channel with Intermittent Feedback. CoRR (2014)
Can Karakus, I-Hsiang Wang, Suhas N. Diggavi
An achievable rate region for Gaussian interference channel with intermittent feedback. Allerton (2013)
Can Karakus, I-Hsiang Wang, Suhas N. Diggavi
Interference channel with intermittent feedback. ISIT (2013)
Can Karakus, I-Hsiang Wang, Suhas N. Diggavi
Interference Channel with Intermittent Feedback CoRR (2013)
Denisa Ghita, Can Karakus, Katerina J. Argyraki, Patrick Thiran
Shifting network tomography toward a practical goal. CoNEXT (2011)

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Publication Activity (10 Years)

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Can Karakus