Maximilian Lam

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All published works

Action	Title	Year	Authors
+	GPU-based Private Information Retrieval for On-Device Machine Learning Inference	2024	Maximilian Lam Jeff Johnson Wenjie Xiong Kiwan Maeng Udit Gupta Yang Li Liangzhen Lai Ilias Leontiadis Minsoo Rhu Hsien-Hsin S. Lee
+	GPU-based Private Information Retrieval for On-Device Machine Learning Inference	2023	Maximilian Lam JEFF JOHNSON Wenjie Xiong Kiwan Maeng Udit Gupta Minsoo Rhu Hsien-Hsin S. Lee Vijay Janapa Reddi Gu-Yeon Wei David J. Brooks
+ PDF Chat	Widening Access to Applied Machine Learning with TinyML	2022	Vijay Janapa Reddi Brian Plancher Susan Kennedy Laurence Moroney Pete Warden Lara Suzuki Anant Agarwal Colby Banbury Massimo Banzi Matthew R. Bennett
+	Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference	2022	Maximilian Lam Michael Mitzenmacher Vijay Janapa Reddi Gu-Yeon Wei David J. Brooks
+	QuaRL: Quantization for Sustainable Reinforcement Learning.	2021	Srivatsan Krishnan Maximilian Lam Sharad Chitlangia Zishen Wan Gabriel Barth-Maron Aleksandra Faust Vijay Janapa Reddi
+	The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage.	2021	Daniel Gálvez Greg Diamos Juan Ciro Juan Felipe Cerón Keith Achorn Anjali Gopi David Kanter Maximilian Lam Mark Mazumder Vijay Janapa Reddi
+ PDF Chat	The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage	2021	Daniel Gálvez Greg Diamos Juan Ciro Juan Felipe Cerón Keith Achorn Anjali Gopi David Kanter Maximilian Lam Mark Mazumder Vijay Janapa Reddi
+	Widening Access to Applied Machine Learning with TinyML.	2021	Vijay Janapa Reddi Brian Plancher Susan Kennedy Laurence Moroney Pete Warden Anant Agarwal Colby Banbury Massimo Banzi Matthew R. Bennett Benjamin Brown
+	Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix	2021	Maximilian Lam Gu-Yeon Wei David Brooks Vijay Janapa Reddi Michael Mitzenmacher
+	Widening Access to Applied Machine Learning with TinyML	2021	Vijay Janapa Reddi Brian Plancher Susan Kennedy Laurence Moroney Pete Warden Anant Agarwal Colby Banbury Massimo Banzi Matthew R. Bennett Benjamin P. Brown
+	The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage	2021	Daniel Gálvez Greg Diamos Juan Ciro Juan Felipe Cerón Keith Achorn Anjali Gopi David Kanter Maximilian Lam Mark Mazumder Vijay Janapa Reddi
+	Quantized Neural Network Inference with Precision Batching.	2020	Maximilian Lam Zachary Yedidia Colby Banbury Vijay Janapa Reddi
+	Quantized Neural Network Inference with Precision Batching	2020	Maximilian Lam Zachary Yedidia Colby Banbury Vijay Janapa Reddi
+	Quantized Reinforcement Learning (QuaRL)	2019	Srivatsan Krishnan Sharad Chitlangia Maximilian Lam Zishen Wan Aleksandra Faust Vijay Janapa Reddi
+	QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning	2019	Srivatsan Krishnan Maximilian Lam Sharad Chitlangia Zishen Wan Gabriel Barth-Maron Aleksandra Faust Vijay Janapa Reddi
+ PDF Chat	Cataloging the Visible Universe Through Bayesian Inference at Petascale	2018	Jeffrey Regier Jon McAuliffe R. C. Thomas Prabhat Kiran Pamnany Keno Fischer Andreas Noack Maximilian Lam Jarrett Revels Steve Howard
+	Cataloging the Visible Universe through Bayesian Inference at Petascale	2018	Jeffrey Regier Kiran Pamnany Keno Fischer Andreas Noack Maximilian Lam Jarrett Revels Steve Howard Ryan Giordano David J. Schlegel Jon McAuliffe
+	Word2Bits - Quantized Word Vectors	2018	Maximilian Lam
+	Speeding Up Distributed Machine Learning Using Codes	2017	Kangwook Lee Maximilian Lam Ramtin Pedarsani Dimitris Papailiopoulos Kannan Ramchandran
+	Gradient Diversity Empowers Distributed Learning.	2017	Dong Yin Ashwin Pananjady Maximilian Lam Dimitris Papailiopoulos Kannan Ramchandran Peter L. Bartlett
+	Speeding up distributed machine learning using codes	2016	Kangwook Lee Maximilian Lam Ramtin Pedarsani Dimitris Papailiopoulos Kannan Ramchandran
+	Cyclades: Conflict-free Asynchronous Machine Learning	2016	Xinghao Pan Maximilian Lam Stephen Tu Dimitris Papailiopoulos Ce Zhang Michael I. Jordan Kannan Ramchandran Christopher Ré
+	CYCLADES: Conflict-free Asynchronous Machine Learning	2016	Xinghao Pan Maximilian Lam Stephen Tu Dimitris Papailiopoulos Ce Zhang Michael I. Jordan Kannan Ramchandran Chris Ré Benjamin Recht

Common Coauthors

Coauthor	Papers Together
Vijay Janapa Reddi	15
Srivatsan Krishnan	6
Sharad Chitlangia	6
Mark Mazumder	6
Colby Banbury	5
Kannan Ramchandran	5
Dimitris Papailiopoulos	5
Gu-Yeon Wei	4
Brian Plancher	3
Keith Achorn	3
Radhika Ghosal	3
Dustin Tingley	3
Aleksandra Faust	3
Daniel Gálvez	3
Laurence Moroney	3
Pete Warden	3
Matthew R. Bennett	3
Juan Felipe Cerón	3
Daniel Leiker	3
Juan Ciro	3
Greg Diamos	3
Cara Mann	3
Dominic Pajak	3
Anjali Gopi	3
Anant Agarwal	3
Sarah Grafman	3
Zishen Wan	3
Dhilan Ramaprasad	3
Matthew Stewart	3
Rupert Jaeger	3
Zachary Yedidia	2
Benjamin Brown	2
Wenjie Xiong	2
Xinghao Pan	2
Ramtin Pedarsani	2
David J. Brooks	2
Stephen Tu	2
Michael I. Jordan	2
Gabriel Barth-Maron	2
Andreas Noack	2
Jeffrey Regier	2
Hsien-Hsin S. Lee	2
J. Evan Smith	2
Susan Kennedy	2
R. C. Thomas	2
Prabhat	2
Ryan Giordano	2
Jon McAuliffe	2
Massimo Banzi	2
David Brooks	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent	2011	Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright	5
+	Parallelized Stochastic Gradient Descent	2010	Martin Zinkevich Markus Weimer Lihong Li Alex Smola	3
+	AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference	2019	Thierry Tambe En-Yu Yang Zishen Wan Yuntian Deng Vijay Janapa Reddi Alexander M. Rush David Brooks Gu-Yeon Wei	3
+ PDF Chat	TOFEC: Achieving optimal throughput-delay trade-off of cloud storage using erasure codes	2014	Guanfeng Liang Ulaş C. Kozat	2
+	Stochastic variational inference	2013	Matthew D. Hoffman David M. Blei Chong Wang John Paisley	2
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	2
+ PDF Chat	Personalizing ASR for Dysarthric and Accented Speech with Limited Data	2019	Joel Shor Dotan Emanuel Oran Lang Omry Tuval Michael P. Brenner Julie Cattiau Fernando G. Vieira Maeve McNally Taylor Charbonneau Melissa Nollstadt	2
+	Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition	2018	Pete Warden	2
+	Distributed Delayed Stochastic Optimization	2011	Alekh Agarwal John C. Duchi	2
+ PDF Chat	A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems	2016	Alen Alexanderian Noémi Petra Georg Stadler Omar Ghattas	2
+	See What I’m Saying? Comparing Intelligent Personal Assistant Use for Native and Non-Native Language Speakers	2020	Yunhan Wu Daniel Rough Anna Bleakley Justin Edwards Orla Cooney Philip Doyle Leigh Clark Benjamin R. Cowan	2
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	2
+	Massively Parallel Methods for Deep Reinforcement Learning	2015	Arun Sukumaran Nair P. Srinivasan Sam Blackwell Cagdas Alcicek Rory Fearon Alessandro De Maria Vedavyas Panneershelvam Mustafa Suleyman Charles Beattie Stig Petersen	2
+	A Solution to the Network Challenges of Data Recovery in Erasure-coded Distributed Storage Systems: A Study on the Facebook Warehouse Cluster	2013	K. V. Rashmi Nihar B. Shah Dikang Gu Hairong Kuang Dhruba Borthakur Kannan Ramchandran	2
+ PDF Chat	When do redundant requests reduce latency ?	2013	Nihar B. Shah Kangwook Lee Kannan Ramchandran	2
+	Training with Noise is Equivalent to Tikhonov Regularization	1995	Chris Bishop	2
+	Hello Edge: Keyword Spotting on Microcontrollers	2017	Yundong Zhang Naveen Suda Liangzhen Lai Vikas Chandra	2
+	PACT: Parameterized Clipping Activation for Quantized Neural Networks	2018	Jungwook Choi Zhuo Wang Swagath Venkataramani Pierce Chuang Vijayalakshmi Srinivasan Kailash Gopalakrishnan	2
+	Visual Wake Words Dataset	2019	Aakanksha Chowdhery Pete Warden Jonathon Shlens Andrew Howard Rocky Rhodes	2
+	Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU	2016	Mohammad Babaeizadeh Iuri Frosio Stephen Tyree Jason Clemons Jan Kautz	2
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	2
+	Relaxed Quantization for Discretized Neural Networks	2019	Christos Louizos Matthias Reisser Tijmen Blankevoort Efstratios Gavves Max Welling	2
+	Common Voice: A Massively-Multilingual Speech Corpus	2019	Rosana Ardila Megan Branson Kelly Davis Michael Henretty Michael Köhler Josh Meyer Reuben Morais Lindsay Saunders Francis M. Tyers Gregor Weber	2
+	Acme: A Research Framework for Distributed Reinforcement Learning	2020	Matt Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Feryal Behbahani Tamara Norman Abbas Abdolmaleki Albin Cassirer Fan Yang Kate Baumli	2
+	Variational Inference: A Review for Statisticians	2017	David M. Blei Alp Kucukelbir Jon McAuliffe	2
+ PDF Chat	The Arcade Learning Environment: An Evaluation Platform for General Agents	2013	Marc G. Bellemare Yavar Naddaf Joel Veness Michael Bowling	2
+ PDF Chat	Fundamental Limits of Caching	2014	Mohammad Ali Maddah-Ali Urs Niesen	2
+ PDF Chat	Efficient task replication for fast response times in parallel computation	2014	Da Wang Gauri Joshi Gregory W. Wornell	2
+ PDF Chat	Network Coding for Distributed Storage Systems	2010	Alexandros G. Dimakis P. Brighten Godfrey Yunnan Wu Martin J. Wainwright Kannan Ramchandran	2
+ PDF Chat	Parallel stochastic gradient algorithms for large-scale matrix completion	2013	Benjamin Recht Christopher Ré	2
+	Forward-Mode Automatic Differentiation in Julia	2016	Jarrett Revels Miles Lubin Theodore Papamarkou	2
+	Trained Ternary Quantization	2016	Chenzhuo Zhu Song Han Huizi Mao William J. Dally	2
+	Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations	2016	Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El‐Yaniv Yoshua Bengio	2
+ PDF Chat	DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving	2015	Chenyi Chen Ari Seff Alain L. Kornhauser Jianxiong Xiao	2
+ PDF Chat	Julia: A Fresh Approach to Numerical Computing	2017	Jeff Bezanson Alan Edelman Stefan Karpinski Viral B. Shah	2
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	2
+	A Cascade Architecture for Keyword Spotting on Mobile Devices	2017	Alexander Gruenstein Raziel Álvarez Chris Thornton Mohammadali Ghodrat	2
+ PDF Chat	Instructional strategies and course design for teaching statistics online: perspectives from online students	2017	Dazhi Yang	2
+	TensorFlow.js: Machine Learning for the Web and Beyond	2019	Daniel Smilkov Nikhil Thorat Yannick Assogba Ann Yuan Nick Kreeger Ping Yu Kangyi Zhang Shanqing Cai Eric Nielsen David Soergel	2
+	TossingBot: Learning to Throw Arbitrary Objects with Residual Physics	2019	Andy Zeng Shuran Song Johnny Lee A. Rodriquez Thomas A.Funkouser	2
+	Quantizing deep convolutional networks for efficient inference: A whitepaper	2018	Raghuraman Krishnamoorthi	2
+ PDF Chat	The NumPy Array: A Structure for Efficient Numerical Computation	2011	Stéfan van der Walt Steven C. Colbert Gaël Varoquaux	2
+	Speeding up distributed machine learning using codes	2016	Kangwook Lee Maximilian Lam Ramtin Pedarsani Dimitris Papailiopoulos Kannan Ramchandran	2
+	Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation	2015	Chi Jin Sham M. Kakade Cameron Musco Praneeth Netrapalli Aaron Sidford	1
+	Fundamental Limits of Distributed Caching in D2D Wireless Networks	2013	Mingyue Ji Giuseppe Caire Andreas F. Molisch	1
+ PDF Chat	Why random reshuffling beats stochastic gradient descent	2019	Mert Gürbüzbalaban Asuman Ozdaglar Pablo A. Parrilo	1
+ PDF Chat	Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties	2015	Ji Liu Stephen J. Wright	1
+ PDF Chat	MLI: An API for Distributed Machine Learning	2013	Evan Sparks Ameet Talwalkar Virginia Smith Jey Kottalam Xinghao Pan Joseph E. Gonzalez Michael J. Franklin Michael I. Jordan Tim Kraska	1
+	Perturbed Iterate Analysis for Asynchronous Stochastic Optimization	2015	Horia Mania Xinghao Pan Dimitris Papailiopoulos Benjamin Recht Kannan Ramchandran Michael I. Jordan	1
+ PDF Chat	On the Delay-Storage Trade-Off in Content Download from Coded Distributed Storage Systems	2014	Gauri Joshi Yanpei Liu Emina Soljanin	1