Amin Karbasi

Shervin Minaee

Proceedings of the 38th International Conference on Machine Learning, 2021

Adaptivity in Adaptive Submodularity.

[BibT_eX]

[DOI]

Hossein Esfandiari

Vahab S. Mirrokni

Proceedings of the Conference on Learning Theory, 2021

Meta Learning in the Continuous Time Limit.

[BibT_eX]

[DOI]

Ruitu Xu

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Regret Bounds for Batched Bandits.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Submodularity in Action: From Machine Learning to Signal Processing Applications.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2020

Stochastic Conditional Gradient++: (Non)Convex Minimization and Continuous Submodular Maximization.

[BibT_eX]

[DOI]

SIAM J. Optim., 2020

Individualized functional networks reconfigure with cognitive state.

[BibT_eX]

[DOI]

NeuroImage, 2020

There is no single functional atlas even for a single individual: Functional parcel definitions change with task.

[BibT_eX]

[DOI]

NeuroImage, 2020

Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization.

[BibT_eX]

[DOI]

Aryan Mokhtari

J. Mach. Learn. Res., 2020

Simultaneous Greedys: A Swiss Army Knife for Constrained Submodular Maximization.

[BibT_eX]

[DOI]

Christopher Harshaw

CoRR, 2020

Safe Learning under Uncertain Objectives and Constraints.

[BibT_eX]

[DOI]

Mohammad Fereydounian

CoRR, 2020

Continuous Submodular Maximization: Beyond DR-Submodularity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online MAP Inference of Determinantal Point Processes.

[BibT_eX]

[DOI]

Aditya Bhaskara

Silvio Lattanzi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Submodular Maximization Through Barrier Functions.

[BibT_eX]

[DOI]

Jan Vondrák

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Streaming Submodular Maximization under a k-Set System Constraint.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

One Sample Stochastic Frank-Wolfe.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Black Box Submodular Maximization: Discrete and Continuous Settings.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Batched Multi-Armed Bandits with Optimal Regret.

[BibT_eX]

[DOI]

CoRR, 2019

Stochastic Conditional Gradient++.

[BibT_eX]

[DOI]

CoRR, 2019

Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Unconstrained submodular maximization with constant adaptive complexity.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adaptive Sequence Submodularity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Submodular Maximization beyond Non-negativity: Guarantees, Fast Algorithms, and Applications.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity.

[BibT_eX]

[DOI]

Marko Mitrovic

Silvio Lattanzi

Proceedings of the 36th International Conference on Machine Learning, 2019

Projection-Free Bandit Convex Optimization.

[BibT_eX]

[DOI]

Mingrui Zhang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Eliminating Latent Discrimination: Train Then Mask.

[BibT_eX]

[DOI]

Soheil Ghili

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks.

[BibT_eX]

[DOI]

NeuroImage, 2018

Learning neural connectivity from firing activity: efficient algorithms with provable guarantees on topology.

[BibT_eX]

[DOI]

Martin Vetterli

J. Comput. Neurosci., 2018

Do Less, Get More: Streaming Submodular Maximization with Subsampling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings.

[BibT_eX]

[DOI]

Aryan Mokhtari

Proceedings of the 35th International Conference on Machine Learning, 2018

Data Summarization at Scale: A Two-Stage Submodular Approach.

[BibT_eX]

[DOI]

Marko Mitrovic

Proceedings of the 35th International Conference on Machine Learning, 2018

Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy?

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap.

[BibT_eX]

[DOI]

Aryan Mokhtari

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Submodularity on Hypergraphs: From Sets to Sequences.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Comparison Based Learning from Weak Oracles.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Online Continuous Submodular Maximization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Deletion-Robust Submodular Maximization at Scale.

[BibT_eX]

[DOI]

CoRR, 2017

Submodular Variational Inference for Network Reconstruction.

[BibT_eX]

[DOI]

Forrest W. Crawford

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Gradient Methods for Submodular Maximization.

[BibT_eX]

[DOI]

S. Hamed Hassani

Mahdi Soltanolkotabi

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Streaming Weak Submodularity: Interpreting Neural Networks on the Fly.

[BibT_eX]

[DOI]

Ethan R. Elenberg

Alexandros G. Dimakis

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Interactive Submodular Bandit.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Submodular Approach to Create Individualized Parcellations of the Human Brain.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Probabilistic Submodular Maximization in Sub-Linear Time.

[BibT_eX]

[DOI]

Serban Stan

Proceedings of the 34th International Conference on Machine Learning, 2017

Differentially Private Submodular Maximization: Data Summarization in Disguise.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Deletion-Robust Submodular Maximization: Data Summarization with "the Right to be Forgotten".

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Greed Is Good: Near-Optimal Submodular Maximization via Greedy Optimization.

[BibT_eX]

[DOI]

Christopher Harshaw

Proceedings of the 30th Conference on Learning Theory, 2017

Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting.

[BibT_eX]

[DOI]

Seyed Hamed Hassani

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Distributed Submodular Maximization.

[BibT_eX]

[DOI]

Rik Sarkar

J. Mach. Learn. Res., 2016

Dimension Coupling: Optimal Active Learning of Halfspaces via Query Synthesis.

[BibT_eX]

[DOI]

S. Hamed Hassani

CoRR, 2016

Fast Distributed Submodular Cover: Public-Private Data Summarization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Estimating the Size of a Large Network and its Communities from a Random Sample.

[BibT_eX]

[DOI]

Forrest W. Crawford

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Fast Constrained Submodular Maximization: Personalized Data Summarization.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Learning network structures from firing patterns.

[BibT_eX]

[DOI]

Martin Vetterli

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling.

[BibT_eX]

[DOI]

Forrest W. Crawford

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

From Small-World Networks to Comparison-Based Search.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

Distributed Submodular Cover: Succinctly Summarizing Massive Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Asynchronous decoding of LDPC codes over BEC.

[BibT_eX]

[DOI]

Saeid Haghighatshoar

Proceedings of the IEEE International Symposium on Information Theory, 2015

Non-Monotone Adaptive Submodular Maximization.

[BibT_eX]

[DOI]

Alkis Gotovos

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Normalization Phenomena in Asynchronous Networks.

[BibT_eX]

[DOI]

Johannes Lengler

Angelika Steger

Proceedings of the Automata, Languages, and Programming - 42nd International Colloquium, 2015

Fast Mixing for Discrete Point Processes.

[BibT_eX]

[DOI]

Patrick Rebeschini

Proceedings of The 28th Conference on Learning Theory, 2015

Sequential Information Maximization: When is Greedy Near-optimal?

[BibT_eX]

[DOI]

Proceedings of The 28th Conference on Learning Theory, 2015

Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning.

[BibT_eX]

[DOI]

Mario Lucic

Mesrob I. Ohannessian

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Lazier Than Lazy Greedy.

[BibT_eX]

[DOI]

Jan Vondrák

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Submodular Surrogates for Value of Information.

[BibT_eX]

[DOI]

Siddhartha S. Srinivasa

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Noise Facilitation in Associative Memories of Exponential Capacity.

[BibT_eX]

[DOI]

Neural Comput., 2014

Convolutional Neural Associative Memories: Massive Capacity with Noise Tolerance.

[BibT_eX]

[DOI]

Amin Shokrollahi

CoRR, 2014

Streaming submodular maximization: massive data summarization on the fly.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Near-Optimally Teaching the Crowd to Classify.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Near Optimal Bayesian Active Learning for Decision Making.

[BibT_eX]

[DOI]

Siddhartha S. Srinivasa

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Calibration Using Matrix Completion With Application to Ultrasound Tomography.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Robust Localization From Incomplete Local Information.

[BibT_eX]

[DOI]

Sewoong Oh

IEEE/ACM Trans. Netw., 2013

Constrained Binary Identification Problem.

[BibT_eX]

[DOI]

Proceedings of the 30th International Symposium on Theoretical Aspects of Computer Science, 2013

Distributed Submodular Maximization: Identifying Representative Elements in Massive Data.

[BibT_eX]

[DOI]

Rik Sarkar

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Noise-Enhanced Associative Memories.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Coupled neural associative memories.

[BibT_eX]

[DOI]

Amin Shokrollahi

Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Iterative Learning and Denoising in Convolutional Neural Associative Memories.

[BibT_eX]

[DOI]

Amin Shokrollahi

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Graph-Based Information Processing - Scaling Laws and Applications.

[BibT_eX]

[DOI]

PhD thesis, 2012

Graph-Constrained Group Testing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2012

Low-Rank Matrix Approximation Using Point-Wise Operators.

[BibT_eX]

[DOI]

Arash Amini

Farokh Marvasti

IEEE Trans. Inf. Theory, 2012

Multi-Level Error-Resilient Neural Networks with Learning

[BibT_eX]

[DOI]

CoRR, 2012

Sequential group testing with graph constraints.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Hot or not: Interactive content search using comparisons.

[BibT_eX]

[DOI]

Proceedings of the 2012 Information Theory and Applications Workshop, 2012

Multi-level error-resilient neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Comparison-Based Learning with Rank Nets.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Group Testing With Probabilistic Tests: Theory, Design and Application.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2011

Adaptive Content Search Through Comparisons

[BibT_eX]

[DOI]

CoRR, 2011

Compression with graphical constraints: An interactive browser.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Calibration in circular ultrasound tomography devices.

[BibT_eX]

[DOI]

Reza Parhizkar

Martin Vetterli

Proceedings of the IEEE International Conference on Acoustics, 2011

Content Search through Comparisons.

[BibT_eX]

[DOI]

Proceedings of the Automata, Languages and Programming - 38th International Colloquium, 2011

2010

Calibration for Ultrasound Breast Tomography Using Matrix Completion

[BibT_eX]

[DOI]

CoRR, 2010

Distributed sensor network localization from local connectivity: performance analysis for the HOP-TERRAIN algorithm.

[BibT_eX]

[DOI]

Sewoong Oh

Proceedings of the SIGMETRICS 2010, 2010

From centralized to distributed sensor localization.

[BibT_eX]

[DOI]

Proceedings of the 2010 ACM workshop on Wireless of the students, 2010

2009

An Estimation Theoretic Approach for Sparsity Pattern Recovery in the Noisy Setting

[BibT_eX]

[DOI]

CoRR, 2009

Support recovery in compressed sensing: An estimation theoretic approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2009

Compressed sensing with probabilistic measurements: A group testing solution.

[BibT_eX]

[DOI]

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2007

A new DOA estimation method using a circular microphone array.

[BibT_eX]

[DOI]

Akihiko Sugiyama

Proceedings of the 15th European Signal Processing Conference, 2007

2006

A DOA estimation method for an arbitrary triangular microphone arrangement.

[BibT_eX]

[DOI]