Benjamin Recht

According to our database1, Benjamin Recht authored at least 78 papers between 2002 and 2018.

Collaborative distances:
  • Dijkstra number2 of three.
  • Erdős number3 of two.

Timeline

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Bibliography

2018
Sharp Time-Data Tradeoffs for Linear Inverse Problems.
IEEE Trans. Information Theory, 2018

Gradient Descent Learns Linear Dynamical Systems.
Journal of Machine Learning Research, 2018

Tight query complexity lower bounds for PCA via finite sample deformed wigner law.
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018

Simple random search of static linear policies is competitive for reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification.
Proceedings of the Conference On Learning Theory, 2018

On the Approximation of Toeplitz Operators for Nonparametric H-norm Estimation.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization.
SIAM Journal on Optimization, 2017

Saturating Splines and Feature Selection.
Journal of Machine Learning Research, 2017

Drizzle: Fast and Adaptable Stream Processing at Scale.
Proceedings of the 26th Symposium on Operating Systems Principles, 2017

The Marginal Value of Adaptive Gradient Methods in Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Breaking Locality Accelerates Block Gauss-Seidel.
Proceedings of the 34th International Conference on Machine Learning, 2017

KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

A step towards quantifying when an algorithm can and cannot predict an individual's wellbeing.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime.
Proceedings of the 30th Conference on Learning Theory, 2017

Occupy the cloud: distributed computing for the 99%.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016
Analysis and Design of Optimization Algorithms via Integral Quadratic Constraints.
SIAM Journal on Optimization, 2016

Detecting change in depressive symptoms from daily wellbeing questions, personality, and activity.
Proceedings of the 2016 IEEE Wireless Health, 2016

Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics.
Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation, 2016

The Power of Adaptivity in Identifying Statistical Alternatives.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Low-rank Solutions of Linear Matrix Equations via Procrustes Flow.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Train faster, generalize better: Stability of stochastic gradient descent.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Best-of-K-bandits.
Proceedings of the 29th Conference on Learning Theory, 2016

Gradient Descent Only Converges to Minimizers.
Proceedings of the 29th Conference on Learning Theory, 2016

2015
The Randomized Causation Coefficient.
Journal of Machine Learning Research, 2015

Parallel Correlation Clustering on Big Graphs.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A General Analysis of the Convergence of ADMM.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Exponential convergence bounds using integral quadratic constraints.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Superresolution without separation.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

The alternating descent conditional gradient method for sparse inverse problems.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Blind Deconvolution Using Convex Programming.
IEEE Trans. Information Theory, 2014

Fast Methods for Denoising Matrix Completion Formulations, with Applications to Robust Seismic Data Interpolation.
SIAM J. Scientific Computing, 2014

Robust line spectral estimation.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Atomic Norm Denoising With Applications to Line Spectral Estimation.
IEEE Trans. Signal Processing, 2013

Compressed Sensing Off the Grid.
IEEE Trans. Information Theory, 2013

Parallel stochastic gradient algorithms for large-scale matrix completion.
Math. Program. Comput., 2013

Simple bounds for recovering low-complexity models.
Math. Program., 2013

Near minimax line spectral estimation.
Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013

Sparse recovery over continuous dictionaries-just discretize.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences.
Proceedings of the COLT 2012, 2012

Universal Measurement Bounds for Structured Sparse Signal Recovery.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

The Convex Geometry of Linear Inverse Problems.
Foundations of Computational Mathematics, 2012

Exact matrix completion via convex optimization.
Commun. ACM, 2012

Security Analysis of Smartphone Point-of-Sale Systems.
Proceedings of the 6th USENIX Workshop on Offensive Technologies, 2012

K-subspaces with missing data.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Towards a unified architecture for in-RDBMS analytics.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Factoring nonnegative matrices with linear programs.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Query Complexity of Derivative-Free Optimization.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Suppressing pseudocodewords by penalizing the objective of LP decoding.
Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Linear system identification via atomic norm regularization.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Compressive sensing off the grid.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

The l1 penalized decoder and its reweighted LP.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Null space conditions and thresholds for rank minimization.
Math. Program., 2011

A Simpler Approach to Matrix Completion.
Journal of Machine Learning Research, 2011

Probability of unique integer solution to a system of linear equations.
European Journal of Operational Research, 2011

Dimensionality reduction: Beyond the Johnson-Lindenstrauss bound.
Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms, 2011

Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic.
Proceedings of the IJCAI 2011, 2011

Atomic norm denoising with applications to line spectral estimation.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Decomposition methods for large scale LP decoding.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization.
SIAM Review, 2010

Practical Large-Scale Optimization for Max-norm Regularization.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Transduction with Matrix Completion: Three Birds with One Stone.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Sample complexity for 1-bit compressed sensing and sparse classification.
Proceedings of the IEEE International Symposium on Information Theory, 2010

High-dimensional Matched Subspace Detection when data are missing.
Proceedings of the IEEE International Symposium on Information Theory, 2010

2009
Exact Matrix Completion via Convex Optimization.
Foundations of Computational Mathematics, 2009

Learning kernels from indefinite similarities.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Determining interconnections in biochemical networks using linear programming.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Learning to Transform Time Series with a Few Examples.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Random Features for Large-Scale Kernel Machines.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Unsupervised Regression with Applications to Nonlinear System Identification.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Interaction techniques for musical performance with tabletop tangible interfaces.
Proceedings of the International Conference on Advances in Computer Entertainment Technology, 2006

2005
Learning Appearance Manifolds from Video.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Distributed control of systems over discrete Groups.
IEEE Trans. Automat. Contr., 2004

2002
Audiopad: A Tag-based Interface for Musical Performance.
Proceedings of the New Interfaces for Musical Expression, 2002


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