Scott Sievert

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All published works

Action	Title	Year	Authors
+ PDF Chat	Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning	2024	Jifan Zhang Lalit Jain Yang Guo Jiayi Chen Kuan Lok Zhou Siddharth Suresh Andrew Wagenmaker Scott Sievert Timothy T. Rogers Kevin Jamieson
+ PDF Chat	SciPy 1.0: fundamental algorithms for scientific computing in Python	2020	Pauli Virtanen Ralf Gommers Travis E. Oliphant Matt Haberland Tyler Reddy David Cournapeau Evgeni Burovski Pearu Peterson Warren Weckesser J.D. Bright
+	Reward, Affiliation, and Dominance Smiles are Associated with Distinct Mental Content	2020	Jared Martin Adrienne Wood William T. L. Cox Scott Sievert Robert D. Nowak Eva Gilboa‐Schechtman Fangyun Zhao Zachary Witkower Andrew Langebhn Paula M. Niedenthal
+	Improving the convergence of SGD through adaptive batch sizes.	2019	Scott Sievert Zachary Charles
+	Improving the convergence of SGD via adaptive batch sizes	2019	Scott Sievert
+	Improving the convergence of SGD through adaptive batch sizes	2019	Scott Sievert Shrey Shah
+	ATOMO: Communication-efficient Learning via Atomic Sparsification	2018	Hongyi Wang Scott Sievert Zachary Charles Shengchao Liu Stephen J. Wright Dimitris Papailiopoulos
+	ATOMO: Communication-efficient Learning via Atomic Sparsification	2018	Hongyi Wang Scott Sievert Shengchao Liu Zachary Charles Dimitris Papailiopoulos Stephen J. Wright

Common Coauthors

Coauthor	Papers Together
Zachary Charles	3
Stephen J. Wright	2
Hongyi Wang	2
Dimitris Papailiopoulos	2
Shengchao Liu	2
Tim Cera	1
Tim Leslie	1
David Nicholson	1
Charles Masson	1
Thomas Robitaille	1
Paula M. Niedenthal	1
Dmitrii V. Ṗasechnik	1
Robert T. McGibbon	1
Sam Tygier	1
Martin Thoma	1
Travis E. Oliphant	1
Jared Martin	1
J.D. Bright	1
Paul van Mulbregt	1
Timothy T. Rogers	1
Josef Perktold	1
Gregory R. Lee	1
David Cournapeau	1
Yoshiki Vázquez‐Baeza	1
Thomas J. Pingel	1
Sebastiano Vigna	1
M. Pak	1
Roman Feldbauer	1
Evgeni Burovski	1
Surhud More	1
Christian Häggström	1
Florian Wilhelm	1
M. Newville	1
Anne M. Archibald	1
Juan Nunez-Iglesias	1
Chad Fulton	1
José Vinícius de Miranda Cardoso	1
E. A. Quintero	1
Gregory E. Allen	1
Jake Vanderplas	1
Eric Wieser	1
Per A. Brodtkorb	1
Gert‐Ludwig Ingold	1
Joscha Reimer	1
Denis Laxalde	1
Zachary Witkower	1
Anthony Scopatz	1
Felix Lenders	1
Adrienne Wood	1
Antônio H. Ribeiro	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Big Batch SGD: Automated Inference using Adaptive Batch Sizes	2016	Soham De Abhay Kumar Yadav David W. Jacobs Tom Goldstein	2
+	Three Factors Influencing Minima in SGD	2017	Stanisław Jastrzȩbski Zachary Kenton Devansh Arpit Nicolas Ballas Asja Fischer Yoshua Bengio Amos Storkey	2
+	AdaGrad stepsizes: Sharp convergence over nonconvex landscapes	2018	Rachel Ward Xiaoxia Wu Léon Bottou	2
+	History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms	2019	Kaiyi Ji Zhe Wang Bowen Weng Yi Zhou Wei Zhang Yingbin Liang	2
+	Optimization Methods for Large-Scale Machine Learning	2018	Léon Bottou Frank E. Curtis Jorge Nocedal	2
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	2
+	Understanding deep learning requires rethinking generalization	2016	Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals	2
+	ImageNet pre-trained models with batch normalization	2016	Marcel Simon Erik Rodner Joachim Denzler	2
+	ADADELTA: An Adaptive Learning Rate Method	2012	Matthew D. Zeiler	2
+ PDF Chat	The LIGO Open Science Center	2015	Michele Vallisneri J. B. Kanner R. Williams A. J. Weinstein Branson C. Stephens	1
+	Fast Algorithms and Efficient Statistics: N-Point Correlation Functions	2006	Andrew Moore Andrew J. Connolly Chris Genovese Alex Gray Larry Grone Nick Kanidoris Robert C. Nichol Jeff Schneider Alexander S. Szalay István Szapudi	1
+	Perturbed Iterate Analysis for Asynchronous Stochastic Optimization	2015	Horia Mania Xinghao Pan Dimitris Papailiopoulos Benjamin Recht Kannan Ramchandran Michael I. Jordan	1
+	No More Pesky Learning Rate Guessing Games.	2015	Leslie N. Smith	1
+ PDF Chat	A Limited Memory Algorithm for Bound Constrained Optimization	1995	Richard H. Byrd Peihuang Lu Jorge Nocedal Ciyou Zhu	1
+ PDF Chat	The Conjugate Gradient Method and Trust Regions in Large Scale Optimization	1983	Trond Steihaug	1
+ PDF Chat	Algorithm 778: L-BFGS-B	1997	Ciyou Zhu Richard H. Byrd Peihuang Lu Jorge Nocedal	1
+	On the convergence of a sequential quadratic programming method with an augmented lagrangian line search function	1983	Klaus Schittkowski	1
+	scikit-image: image processing in Python	2014	Stéfan van der Walt Johannes L. Schönberger Juan Nunez-Iglesias François Boulogne Joshua Warner Neil Yager Emmanuelle Gouillart Tony Yu	1
+ PDF Chat	Python Unleashed on Systems Biology	2007	Christopher R. Myers Ryan N. Gutenkunst James P. Sethna	1
+ PDF Chat	Algorithm 644	1986	D. E. Amos	1
+	Using Python to Solve Partial Differential Equations	2007	Kent‐André Mardal Ola Skavhaug Glenn Terje Lines Gunnar A. Staff Åsmund Ødegård	1
+ PDF Chat	Mayavi: 3D Visualization of Scientific Data	2011	Prabhu Ramachandran Gaël Varoquaux	1
+ PDF Chat	Sample size selection in optimization methods for machine learning	2012	Richard H. Byrd Gillian M. Chin Jorge Nocedal Yuchen Wu	1
+	Characterization of structures from X-ray scattering data using genetic algorithms	1999	Matthew Wormington Charles Panaccione Kevin Matney D. Keith Bowen	1
+	Presolving in linear programming	1995	Erling D. Andersen Knud D. Andersen	1
+ PDF Chat	Solving the Trust-Region Subproblem using the Lanczos Method	1999	Nicholas I. M. Gould Stefano Lucidi Massimo Roma Philippe L. Toint	1
+	Newton-Type Minimization via the Lanczos Method	1984	Stephen G. Nash	1
+	The guide to available mathematical software problem classification system<sup>1</sup>	1991	Ronald F. Boisvert Sally E. Howe David K. Kahaner	1
+ PDF Chat	Computing a Trust Region Step	1983	Jorge J. Morè D. C. Sorensen	1
+	Direct search algorithms for optimization calculations	1998	M. J. D. Powell	1
+	Monotone Piecewise Cubic Interpolation	1980	F.N. Fritsch R.E. Carlson	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+	An efficient method for finding the minimum of a function of several variables without calculating derivatives	1964	M. J. D. Powell	1
+ PDF Chat	CODATA recommended values of the fundamental physical constants: 2010	2012	Peter J. Mohr Barry N. Taylor David B. Newell	1
+ PDF Chat	The NumPy Array: A Structure for Efficient Numerical Computation	2011	Stéfan van der Walt Steven C. Colbert Gaël Varoquaux	1
+	A Simplex Method for Function Minimization	1965	J. A. Nelder R. Mead	1
+ PDF Chat	Python for Education: Computational Methods for Nonlinear Systems	2007	Christopher R. Myers James P. Sethna	1
+	A View of Algorithms for Optimization without Derivatives 1	2007	M. J. D. Powell	1
+ PDF Chat	Probabilistic programming in Python using PyMC3	2016	John Salvatier Thomas V. Wiecki Christopher Fonnesbeck	1
+ PDF Chat	Observation of Gravitational Waves from a Binary Black Hole Merger	2016	B. P. Abbott R. Abbott T. D. Abbott M. R. Abernathy F. Acernese K. Ackley C. Adams T. Adams P. Addesso R. X. Adhikari	1
+ PDF Chat	GW150914: First results from the search for binary black hole coalescence with Advanced LIGO	2016	B. P. Abbott R. Abbott T. D. Abbott M. R. Abernathy F. Acernese K. Ackley C. Adams T. Adams P. Addesso R. X. Adhikari	1
+	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	2016	Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou	1
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	1
+ PDF Chat	<tt>trlib</tt>: a vector-free implementation of the GLTR method for iterative solution of the trust region problem	2018	Felix Lenders Christian Kirches Andreas Potschka	1
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	1
+	The YouTube-8M Kaggle Competition: Challenges and Methods	2017	Haosheng Zou Kun Xu Jialian Li Jun Zhu	1
+ PDF Chat	GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral	2017	B. P. Abbott R. Abbott T. D. Abbott F. Acernese K. Ackley C. Adams T. Adams P. Addesso R. X. Adhikari V. B. Adya	1
+	Don't Decay the Learning Rate, Increase the Batch Size	2017	Samuel Smith Pieter-Jan Kindermans Chris Ying Quoc V. Le	1
+	QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding	2016	Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović	1
+	AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks	2017	Aditya Devarakonda Maxim Naumov Michael Garland	1