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Fast Metric Embedding into the Hamming Cube
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2024
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Sjoerd Dirksen
Shahar Mendelson
Alexander Stollenwerk
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Tuning-Free One-Bit Covariance Estimation Using Data-Driven Dithering
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2024
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Sjoerd Dirksen
Johannes Maly
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Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems
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2023
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Tianyu Yang
Johannes Maly
Sjoerd Dirksen
Giuseppe Caire
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Robust one-bit compressed sensing with partial circulant matrices
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2023
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Sjoerd Dirksen
Shahar Mendelson
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Plug-in Channel Estimation with Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems
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2023
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Tianyu Yang
Johannes Maly
Sjoerd Dirksen
Giuseppe Caire
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Tuning-free one-bit covariance estimation using data-driven dithering
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2023
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Sjoerd Dirksen
Johannes Maly
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Memorization with neural nets: going beyond the worst case
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2023
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Sjoerd Dirksen
Patrick Finke
Martin Genzel
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Sharp Estimates on Random Hyperplane Tessellations
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2022
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Sjoerd Dirksen
Shahar Mendelson
Alexander Stollenwerk
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Covariance estimation under one-bit quantization
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2022
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Sjoerd Dirksen
Johannes Maly
Holger Rauhut
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PDF
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New Challenges in Covariance Estimation: Multiple Structures and Coarse Quantization
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2022
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Johannes Maly
Tianyu Yang
Sjoerd Dirksen
Holger Rauhut
Giuseppe Caire
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Sharp estimates on random hyperplane tessellations
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2022
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Sjoerd Dirksen
Shahar Mendelson
Alexander Stollenwerk
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Fast metric embedding into the Hamming cube
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2022
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Sjoerd Dirksen
Shahar Mendelson
Alexander Stollenwerk
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PDF
Chat
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Covariance Estimation under One‐bit Quantization
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2021
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Sjoerd Dirksen
Johannes Maly
Holger Rauhut
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The Separation Capacity of Random Neural Networks.
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2021
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Sjoerd Dirksen
Martin Genzel
Laurent Jacques
Alexander Stollenwerk
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New challenges in covariance estimation: multiple structures and coarse
quantization
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2021
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Johannes Maly
Tianyu Yang
Sjoerd Dirksen
Holger Rauhut
Giuseppe Caire
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Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs
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2021
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Simone Brugiapaglia
Sjoerd Dirksen
Hans Christian Jung
Holger Rauhut
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Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks
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2021
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Simon Veldkamp
Kirien Whan
Sjoerd Dirksen
Maurice Schmeits
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Covariance estimation under one-bit quantization
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2021
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Sjoerd Dirksen
Johannes Maly
Holger Rauhut
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The Separation Capacity of Random Neural Networks
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2021
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Sjoerd Dirksen
Martin Genzel
Laurent Jacques
Alexander Stollenwerk
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New challenges in covariance estimation: multiple structures and coarse quantization
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2021
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Johannes Maly
Tianyu Yang
Sjoerd Dirksen
Holger Rauhut
Giuseppe Caire
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Binarized Johnson-Lindenstrauss embeddings.
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2020
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Sjoerd Dirksen
Alexander Stollenwerk
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Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs
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2020
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Simone Brugiapaglia
Sjoerd Dirksen
Hans Christian Jung
Holger Rauhut
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PDF
Chat
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Sparse recovery in bounded Riesz systems with applications to numerical
methods for PDEs
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2020
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Simone Brugiapaglia
Sjoerd Dirksen
Hans Christian Jung
Holger Rauhut
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Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs
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2020
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Simone Brugiapaglia
Sjoerd Dirksen
Hans Christian Jung
Holger Rauhut
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Binarized Johnson-Lindenstrauss embeddings
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2020
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Sjoerd Dirksen
Alexander Stollenwerk
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PDF
Chat
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One-bit compressed sensing with partial Gaussian circulant matrices
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2019
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Sjoerd Dirksen
Hans Christian Jung
Holger Rauhut
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PDF
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Lq‐valued Burkholder–Rosenthal inequalities and sharp estimates for stochastic integrals
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2019
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Sjoerd Dirksen
Ivan Yaroslavtsev
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Robust one-bit compressed sensing with non-Gaussian measurements.
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2018
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Sjoerd Dirksen
Shahar Mendelson
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Non-Gaussian Hyperplane Tessellations and Robust One-Bit Compressed Sensing
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2018
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Sjoerd Dirksen
Shahar Mendelson
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PDF
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Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness
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2018
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Sjoerd Dirksen
Tino Ullrich
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PDF
Chat
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Fast Binary Embeddings with Gaussian Circulant Matrices: Improved Bounds
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2018
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Sjoerd Dirksen
Alexander Stollenwerk
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Non-Gaussian Hyperplane Tessellations and Robust One-Bit Compressed Sensing
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2018
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Sjoerd Dirksen
Shahar Mendelson
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Robust one-bit compressed sensing with partial circulant matrices
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2018
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Sjoerd Dirksen
Shahar Mendelson
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One-bit compressed sensing with partial Gaussian circulant matrices
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2017
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Sjoerd Dirksen
Hans Christian Jung
Holger Rauhut
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Gelfand numbers, structured sparsity and Besov space embeddings with small mixed smoothness
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2017
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Sjoerd Dirksen
Tino Ullrich
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Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness
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2017
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Sjoerd Dirksen
Tino Ullrich
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One-bit compressed sensing with partial Gaussian circulant matrices
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2017
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Sjoerd Dirksen
Hans Christian Jung
Holger Rauhut
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Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness
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2017
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Sjoerd Dirksen
Tino Ullrich
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Fast binary embeddings with Gaussian circulant matrices: improved bounds
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2016
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Sjoerd Dirksen
Alexander Stollenwerk
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Uniform recovery of fusion frame structured sparse signals
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2016
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Ulaş Ayaz
Sjoerd Dirksen
Holger Rauhut
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Fast binary embeddings with Gaussian circulant matrices: improved bounds
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2016
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Sjoerd Dirksen
Alexander Stollenwerk
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PDF
Chat
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Dimensionality Reduction with Subgaussian Matrices: A Unified Theory
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2015
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Sjoerd Dirksen
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PDF
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Toward a unified theory of sparse dimensionality reduction in Euclidean space
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2015
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Jean Bourgain
Sjoerd Dirksen
Jelani Nelson
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PDF
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Toward a Unified Theory of Sparse Dimensionality Reduction in Euclidean Space
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2015
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Jean Bourgain
Sjoerd Dirksen
Jelani Nelson
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Weak-type interpolation for noncommutative maximal operators
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2015
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Sjoerd Dirksen
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On the gap between RIP-properties and sparse recovery conditions
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2015
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Sjoerd Dirksen
Guillaume Lecué
Holger Rauhut
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Tail bounds via generic chaining
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2015
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Sjoerd Dirksen
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On the gap between RIP-properties and sparse recovery conditions
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2015
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Sjoerd Dirksen
Guillaume Lecué
Holger Rauhut
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Noncommutative Boyd interpolation theorems
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2014
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Sjoerd Dirksen
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Itô isomorphisms for $L^{p}$-valued Poisson stochastic integrals
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2014
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Sjoerd Dirksen
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Uniform recovery of fusion frame structured sparse signals
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2014
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Ulaş Ayaz
Sjoerd Dirksen
Holger Rauhut
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Dimensionality reduction with subgaussian matrices: a unified theory
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2014
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Sjoerd Dirksen
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Itô isomorhisms for Lp-valued Poisson stochastic integrals
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2014
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Sjoerd Dirksen
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Uniform recovery of fusion frame structured sparse signals
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2014
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Ulaş Ayaz
Sjoerd Dirksen
Holger Rauhut
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Dimensionality reduction with subgaussian matrices: a unified theory
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2014
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Sjoerd Dirksen
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Toward a unified theory of sparse dimensionality reduction in Euclidean space
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2013
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Jean Bourgain
Sjoerd Dirksen
Jelani Nelson
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Tail bounds via generic chaining
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2013
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Sjoerd Dirksen
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Poisson stochastic integration in Banach spaces
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2013
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Sjoerd Dirksen
Jan Maas
Jan van Neerven
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PDF
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Some remarks on noncommutative Khintchine inequalities
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2013
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Sjoerd Dirksen
Éric Ricard
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PDF
Chat
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Poisson stochastic integration in Banach spaces
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2013
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Sjoerd Dirksen
Jan Maas
Jan van Neerven
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Tail bounds via generic chaining
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2013
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Sjoerd Dirksen
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Toward a unified theory of sparse dimensionality reduction in Euclidean space
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2013
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Jean Bourgain
Sjoerd Dirksen
Jelani Nelson
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Poisson stochastic integration in Banach spaces
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2013
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Sjoerd Dirksen
Jan Maas
Jan van Neerven
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Noncommutative Boyd interpolation theorems
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2012
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Sjoerd Dirksen
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Noncommutative and vector-valued Boyd interpolation theorems
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2012
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Sjoerd Dirksen
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Noncommutative Boyd interpolation theorems
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2012
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Sjoerd Dirksen
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Weak-type interpolation for noncommutative maximal operators
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2012
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Sjoerd Dirksen
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Rosenthal inequalities in noncommutative symmetric spaces
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2011
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Sjoerd Dirksen
B. de Pagter
Denis Potapov
Fedor Sukochev
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Crossed products of Banach algebras. I
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2011
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Sjoerd Dirksen
Marcel de Jeu
Marten Wortel
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Noncommutative stochastic integration through decoupling
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2010
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Sjoerd Dirksen
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Extending representations of normed algebras in Banach spaces
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2009
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Sjoerd Dirksen
Marcel de Jeu
Marten Wortel
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