Filter & follow: how social media foster content curation. - Avner May; Augustin Chaintreau; Nitish Korula; Silvio Lattanzi (SIGMETRICS, 2014)

How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. - Zhiyun Lu; Avner May; Kuan Liu; Alireza Bagheri Garakani; Dong Guo; Aurélien Bellet; Linxi Fan; Michael Collins 001; Brian Kingsbury; Michael Picheny; Fei Sha (CoRR, 2014)

A comparison between deep neural nets and kernel acoustic models for speech recognition. - Zhiyun Lu; Dong Guo; Alireza Bagheri Garakani; Kuan Liu; Avner May; Aurélien Bellet; Linxi Fan; Michael Collins 001; Brian Kingsbury; Michael Picheny; Fei Sha (ICASSP, 2016)

Compact kernel models for acoustic modeling via random feature selection. - Avner May; Michael Collins 001; Daniel J. Hsu; Brian Kingsbury (ICASSP, 2016)

Kernel Approximation Methods for Speech Recognition. - Avner May (2018)

Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation. - Jian Zhang 049; Avner May; Tri Dao; Christopher Ré (AISTATS, 2019)

On the Downstream Performance of Compressed Word Embeddings. - Avner May; Jian Zhang 049; Tri Dao; Christopher Ré (NeurIPS, 2019)

Kernel Approximation Methods for Speech Recognition. - Avner May; Alireza Bagheri Garakani; Zhiyun Lu; Dong Guo; Kuan Liu; Aurélien Bellet; Linxi Fan; Michael Collins 001; Daniel Hsu 001; Brian Kingsbury; Michael Picheny; Fei Sha (J. Mach. Learn. Res., 2019)

Contextual Embeddings: When Are They Worth It? - Simran Arora; Avner May; Jian Zhang 049; Christopher Ré (ACL, 2020)

Understanding the Downstream Instability of Word Embeddings. - Megan Leszczynski; Avner May; Jian Zhang 049; Sen Wu 002; Christopher R. Aberger; Christopher Ré (MLSys, 2020)

Audio-visual fine-tuning of audio-only ASR models. - Avner May; Dmitriy Serdyuk; Ankit Parag Shah; Otavio Braga; Olivier Siohan (CoRR, 2023)

Sequoia: Scalable and Robust Speculative Decoding. - Zhuoming Chen; Avner May; Ruslan Svirschevski; Yuhsun Huang; Max Ryabinin; Zhihao Jia; Beidi Chen (NeurIPS, 2024)

SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices. - Ruslan Svirschevski; Avner May; Zhuoming Chen; Beidi Chen; Zhihao Jia; Max Ryabinin (NeurIPS, 2024)

The Mamba in the Llama: Distilling and Accelerating Hybrid Models. - Junxiong Wang; Daniele Paliotta; Avner May; Alexander M. Rush; Tri Dao (NeurIPS, 2024)

Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding. - Zhuoming Chen; Avner May; Ruslan Svirschevski; Yuhsun Huang; Max Ryabinin; Zhihao Jia; Beidi Chen (CoRR, 2024)

MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding. - Ranajoy Sadhukhan; Jian Chen; Zhuoming Chen; Vashisth Tiwari; Ruihang Lai; Jinyuan Shi; Ian En-Hsu Yen; Avner May; Tianqi Chen; Beidi Chen (ICLR, 2025)

Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models. - Avanika Narayan; Dan Biderman; Sabri Eyuboglu; Avner May; Scott W. Linderman; James Zou 001; Christopher Ré (CoRR, 2025)