Joachim Giesen

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All published works

Action	Title	Year	Authors
+	Convexity Certificates for Symbolic Tensor Expressions	2024	Paul Gerhardt Rump Niklas Merk Julien Klaus Maurice Wenig Joachim Giesen
+ PDF Chat	Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption	2023	Matthias Mitterreiter Marcel Koch Joachim Giesen Sören Laue
+	A visual analytics workflow for probabilistic modeling	2023	Julien Klaus Mark Blacher Andreas Goral Philipp Lucas Joachim Giesen
+	Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption	2023	Matthias Mitterreiter Marcel Koch Joachim Giesen Sören Laue
+	Compiling Tensor Expressions into Einsum	2023	Julien Klaus Mark Blacher Joachim Giesen
+	Mixed membership Gaussians	2022	Joachim Giesen Paul Kahlmeyer Sören Laue Matthias Mitterreiter Frank Nussbaum Christoph Staudt
+ PDF Chat	Vectorized and performance‐portable quicksort	2022	Jan Wassenberg Mark Blacher Joachim Giesen Peter Sanders
+ PDF Chat	Optimization for Classical Machine Learning Problems on the GPU	2022	Sören Laue Mark Blacher Joachim Giesen
+	Optimization for Classical Machine Learning Problems on the GPU	2022	Sören Laue Mark Blacher Joachim Giesen
+	Vectorized and performance-portable Quicksort	2022	Mark Blacher Joachim Giesen Peter Sanders Jan Wassenberg
+	Convexity Certificates from Hessians	2022	Julien Klaus Niklas Merk Konstantin Wiedom Sören Laue Joachim Giesen
+ PDF Chat	The GENO Software Stack	2022	Joachim Giesen Lars Kuehne Sören Laue
+	Method of Moments for Topic Models with Mixed Discrete and Continuous Features	2021	Joachim Giesen Paul Kahlmeyer Sören Laue Matthias Mitterreiter Frank Nussbaum Christoph Staudt Sina Zarrieß
+ PDF Chat	A Simple and Efficient Tensor Calculus for Machine Learning	2020	Sören Laue Matthias Mitterreiter Joachim Giesen
+	A Simple and Efficient Tensor Calculus for Machine Learning	2020	Sören Laue Matthias Mitterreiter Joachim Giesen
+	Pairwise sparse + low-rank models for variables of mixed type	2020	Frank Nussbaum Joachim Giesen
+	A Simple and Efficient Tensor Calculus for Machine Learning	2020	Sören Laue Matthias Mitterreiter Joachim Giesen
+	Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization	2019	Joachim Giesen Frank Nussbaum Christopher Schneider
+	GENO -- GENeric Optimization for Classical Machine Learning	2019	Sören Laue Matthias Mitterreiter Joachim Giesen
+	Ising Models with Latent Conditional Gaussian Variables	2019	Frank Nussbaum Joachim Giesen
+	Ising Models with Latent Conditional Gaussian Variables	2019	Frank Nussbaum Joachim Giesen
+	GENO -- GENeric Optimization for Classical Machine Learning	2019	Sören Laue Matthias Mitterreiter Joachim Giesen
+	Computing Higher Order Derivatives of Matrix and Tensor Expressions	2018	Soeren Laue Matthias Mitterreiter Joachim Giesen
+	Distributed Convex Optimization with Many Convex Constraints	2016	Joachim Giesen Sören Laue
+	Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains	2015	Katharina Blechschmidt Joachim Giesen Soeren Laue
+	Robust and Efficient Kernel Hyperparameter Paths with Guarantees	2014	Joachim Giesen Soeren Laue Patrick Wieschollek
+	Approximating Concavely Parameterized Optimization Problems	2012	Joachim Giesen Jens K. Mueller Soeren Laue Sascha Swiercy
+ PDF Chat	Approximating parameterized convex optimization problems	2012	Joachim Giesen Martin Jaggi Sören Laue
+	Regularization Paths with Guarantees for Convex Semidefinite Optimization.	2012	Joachim Giesen Martin Jaggi Soeren Laue
+ PDF Chat	Approximating Parameterized Convex Optimization Problems	2010	Joachim Giesen Martin Jaggi Sören Laue
+ PDF Chat	The scale axis picture show	2009	Joachim Giesen Miklós Bálint Mark V. Pauly Camille Wormser
+ PDF Chat	The scale axis transform	2009	Joachim Giesen Miklós Bálint Mark V. Pauly Camille Wormser
+ PDF Chat	Spectral Techniques to Explore Point Clouds in Euclidean Space, with Applications to Collective Coordinates in Structural Biology	2009	Frédéric Cazals Frédéric Chazal Joachim Giesen
+	A Combinatorial Algorithm to Compute Regularization Paths	2009	Bernd Gärtner Joachim Giesen Martin Jaggi Torsten Welsch
+	Insights into the Geometry of the Gaussian Kernel and an Application in Geometric Modeling	2006	Master Thesis Michael Eigensatz Joachim Giesen Mark V. Pauly
+	Boosting Spectral Partitioning by Sampling and Iteration	2005	Joachim Giesen Dieter Mitsche
+	Reconstructing Many Partitions Using Spectral Techniques	2005	Joachim Giesen Dieter Mitsche
+	Minimizing the total absolute Gaussian curvature in a terrain is hard	2005	Maike Buchin Joachim Giesen
+	Approximate Methods in Geometry Lecture Notes	2005	G Bernd Joachim Giesen Emo Welzl
+	A New Diagram from Disks in the Plane	2002	Joachim Giesen Matthias John
+ PDF Chat	Curve Reconstruction, the Traveling Salesman Problem, and Menger's Theorem on Length	2000	Joachim Giesen

Common Coauthors

Coauthor	Papers Together
Sören Laue	16
Matthias Mitterreiter	10
Mark Blacher	6
Frank Nussbaum	6
Soeren Laue	5
Martin Jaggi	4
Julien Klaus	4
Mark V. Pauly	3
Camille Wormser	2
Dieter Mitsche	2
Paul Kahlmeyer	2
Christoph Staudt	2
Miklós Bálint	2
Niklas Merk	2
Jan Wassenberg	2
Peter Sanders	2
Sina Zarrieß	1
Sascha Swiercy	1
Maike Buchin	1
Patrick Wieschollek	1
Christopher Schneider	1
Andreas Goral	1
Maurice Wenig	1
Emo Welzl	1
Matthias John	1
Marcel Koch	1
Marcel Koch	1
Bernd Gärtner	1
Michael Eigensatz	1
Frédéric Cazals	1
Konstantin Wiedom	1
Katharina Blechschmidt	1
Lars Kuehne	1
Master Thesis	1
Philipp Lucas	1
Frédéric Chazal	1
Jens K. Mueller	1
G Bernd	1
Paul Gerhardt Rump	1
Torsten Welsch	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Piecewise linear regularized solution paths	2007	Saharon Rosset Ji Zhu	7
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	5
+ PDF Chat	Pathwise coordinate optimization	2007	Jerome H. Friedman Trevor Hastie Holger Höfling Robert Tibshirani	5
+	An Exponential Lower Bound on the Complexity of Regularization Paths	2009	Bernd Gärtner Martin Jaggi Clément Maria	3
+	Remark on “algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound constrained optimization”	2011	José Luis Morales Jorge Nocedal	3
+ PDF Chat	A rewriting system for convex optimization problems	2018	Akshay Agrawal Robin Verschueren Steven Diamond Stephen Boyd	3
+	AN EXPONENTIAL LOWER BOUND ON THE COMPLEXITY OF REGULARIZATION PATHS	2012	Bernd Gärtner Martin Jaggi Clément Maria	3
+	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	3
+ PDF Chat	Approximating Parameterized Convex Optimization Problems	2010	Joachim Giesen Martin Jaggi Sören Laue	3
+ PDF Chat	Two-dimensional solution path for support vector regression	2006	Gang Wang Dit‐Yan Yeung Frederick H. Lochovsky	3
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	3
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	3
+	Computing Higher Order Derivatives of Matrix and Tensor Expressions	2018	Soeren Laue Matthias Mitterreiter Joachim Giesen	3
+	Regularization Paths with Guarantees for Convex Semidefinite Optimization.	2012	Joachim Giesen Martin Jaggi Soeren Laue	3
+ PDF Chat	A Limited Memory Algorithm for Bound Constrained Optimization	1995	Richard H. Byrd Peihuang Lu Jorge Nocedal Ciyou Zhu	3
+	Latent variable graphical model selection via convex optimization	2012	Venkat Chandrasekaran Pablo A. Parrilo Alan S. Willsky	3
+	Algorithms for nonlinear constraints that use lagrangian functions	1978	M. J. D. Powell	3
+ PDF Chat	Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding	2016	Brendan O’Donoghue Eric Chu Neal Parikh Stephen Boyd	2
+	Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation	1987	Andreas Griewank Andrea Walther	2
+ PDF Chat	A Spectral Algorithm for Latent Dirichlet Allocation	2014	Anima Anandkumar Dean P. Foster Daniel Hsu Sham M. Kakade Yi-Kai Liu	2
+ PDF Chat	Solution Path for Semi-Supervised Classification with Manifold Regularization	2006	Gang Wang Tao Chen Dit‐Yan Yeung Frederick H. Lochovsky	2
+	Continuation and path following	1993	Eugene L. Allgower Kurt Georg	2
+	Algorithms for graph partitioning on the planted partition model	2001	Anne Condon Richard M. Karp	2
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	2
+	A Simple Algorithm for Nuclear Norm Regularized Problems	2010	Martin Jaggi Marek Sulovský	2
+	Approximating Concavely Parameterized Optimization Problems	2012	Joachim Giesen Jens K. Mueller Soeren Laue Sascha Swiercy	2
+ PDF Chat	Smooth minimization of non-smooth functions	2004	Yu. Nesterov	2
+	Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)	2009	Martin J. Wainwright	2
+	Convergence Conditions for Ascent Methods	1969	Philip Wolfe	2
+	Spectral partitioning of random graphs	2001	Frank McSherry	2
+	CVXGEN: a code generator for embedded convex optimization	2011	Jacob Mattingley Stephen Boyd	2
+	Introduction to the non-asymptotic analysis of random matrices	2010	Roman Vershynin	2
+	Computing regularization paths for learning multiple kernels	2004	Francis R. Bach Romain Thibaux Michael I. Jordan	2
+ PDF Chat	Most Tensor Problems Are NP-Hard	2013	Christopher J. Hillar Lek‐Heng Lim	2
+ PDF Chat	Max Cut for Random Graphs with a Planted Partition	2004	B Bollobás Alex Scott	2
+	Efficient Computation of Sparse Hessians Using Coloring and Automatic Differentiation	2008	Assefaw H. Gebremedhin Arijit Tarafdar Alex Pothen Andrea Walther	2
+	Performance Guarantees for Regularized Maximum Entropy Density Estimation	2004	Miroslav Dudı́k Steven J. Phillips Robert E. Schapire	2
+	A Relationship between the BFGS and Conjugate Gradient Algorithms and Its Implications for New Algorithms	1979	Larry Nazareth	2
+	Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics	1977	Joseph B. Kruskal	2
+	The eigenvalues of random symmetric matrices	1981	Zoltán Füredi János Komlós	2
+	Sparse convex optimization methods for machine learning	2011	Martin Jaggi	2
+ PDF Chat	Line search algorithms with guaranteed sufficient decrease	1994	Jorge J. Morè David J. Thuente	2
+ PDF Chat	Graph Implementations for Nonsmooth Convex Programs	2007	Michael C. Grant Stephen Boyd	2
+	A theoretical basis for the reduction of polynomials to canonical forms	1976	Bruno Buchberger	2
+ PDF Chat	Learning the Structure of Mixed Graphical Models	2014	Jason D. Lee Trevor Hastie	2
+	A Tensor Approach to Learning Mixed Membership Community Models	2013	Anima Anandkumar Rong Ge Daniel Hsu Sham M. Kakade	2
+	Multiplier and gradient methods	1969	Magnus R. Hestenes	2
+ PDF Chat	On the concentration of eigenvalues of random symmetric matrices	2002	Noga Alon Michael Krivelevich Van H. Vu	2
+	Unified approach to quadratically convergent algorithms for function minimization	1970	H. Y. Huang	2
+ PDF Chat	Algorithm 778: L-BFGS-B	1997	Ciyou Zhu Richard H. Byrd Peihuang Lu Jorge Nocedal	2