Publications (40)
Simple Unsupervised Keyphrase Extraction using Sentence Embeddings
Kamil Bennani-Smires, Claudiu Musat, Andreea Hossmann +2
An Affine Invariant Linear Convergence Analysis for Frank-Wolfe Algorithms
Simon Lacoste-Julien, Martin Jaggi
Faster Coordinate Descent via Adaptive Importance Sampling
Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi
Correlating Twitter Language with Community-Level Health Outcomes
Arno Schneuwly, Ralf Grubenmann, Séverine Rion Logean +2
A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe
Francesco Locatello, Rajiv Khanna, Michael Tschannen +1
Overcoming Multi-Model Forgetting
Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires +4
On Matching Pursuit and Coordinate Descent
Francesco Locatello, Anant Raj, Sai Praneeth Karimireddy +4
A Combinatorial Algorithm to Compute Regularization Paths
Bernd Gärtner, Joachim Giesen, Martin Jaggi +1
Approximate Steepest Coordinate Descent
Sebastian U. Stich, Anant Raj, Martin Jaggi
Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features
Matteo Pagliardini, Prakhar Gupta, Martin Jaggi
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
Francesco Locatello, Michael Tschannen, Gunnar Rätsch +1
Better Word Embeddings by Disentangling Contextual n-Gram Information
Prakhar Gupta, Matteo Pagliardini, Martin Jaggi
Adding vs. Averaging in Distributed Primal-Dual Optimization
Chenxin Ma, Virginia Smith, Martin Jaggi +3
Safe Adaptive Importance Sampling
Sebastian U. Stich, Anant Raj, Martin Jaggi
An Optimal Affine Invariant Smooth Minimization Algorithm
Alexandre d'Aspremont, Cristóbal Guzmán, Martin Jaggi
Learning Aerial Image Segmentation from Online Maps
Pascal Kaiser, Jan Dirk Wegner, Aurelien Lucchi +3
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
Celestine Dünner, Thomas Parnell, Martin Jaggi
Screening Rules for Convex Problems
Anant Raj, Jakob Olbrich, Bernd Gärtner +2
Distributed Optimization with Arbitrary Local Solvers
Chenxin Ma, Jakub KoneÄný, Martin Jaggi +4
CoCoA: A General Framework for Communication-Efficient Distributed Optimization
Virginia Smith, Simone Forte, Chenxin Ma +3
Sparsified SGD with Memory
Sebastian U. Stich, Jean-Baptiste Cordonnier, Martin Jaggi
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien, Martin Jaggi
Communication-Efficient Distributed Dual Coordinate Ascent
Martin Jaggi, Virginia Smith, Martin TakÃ¡Ä +4
Global linear convergence of Newton's method without strong-convexity or Lipschitz gradients
Sai Praneeth Karimireddy, Sebastian U. Stich, Martin Jaggi
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification
Jan Deriu, Aurelien Lucchi, Valeria De Luca +5
Generating Steganographic Text with LSTMs
Tina Fang, Martin Jaggi, Katerina Argyraki
Primal-Dual Rates and Certificates
Celestine Dünner, Simone Forte, Martin TakÃ¡Ä +1
L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework
Virginia Smith, Simone Forte, Michael I. Jordan +1
Unsupervised robust nonparametric learning of hidden community properties
Mikhail A. Langovoy, Akhilesh Gotmare, Martin Jaggi
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
Anastasia Koloskova, Sebastian U. Stich, Martin Jaggi
An Equivalence between the Lasso and Support Vector Machines
Martin Jaggi
Efficient Greedy Coordinate Descent for Composite Problems
Sai Praneeth Karimireddy, Anastasia Koloskova, Sebastian U. Stich +1
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Simon Lacoste-Julien, Martin Jaggi, Mark Schmidt +1
An Accelerated Communication-Efficient Primal-Dual Optimization Framework for Structured Machine Learning
Chenxin Ma, Martin Jaggi, Frank E. Curtis +2
Pursuits in Structured Non-Convex Matrix Factorizations
Rajiv Khanna, Michael Tschannen, Martin Jaggi
Error Feedback Fixes SignSGD and other Gradient Compression Schemes
Sai Praneeth Karimireddy, Quentin Rebjock, Sebastian U. Stich +1
An Exponential Lower Bound on the Complexity of Regularization Paths
Bernd Gärtner, Martin Jaggi, Clément Maria
Crosslingual Document Embedding as Reduced-Rank Ridge Regression
Martin Josifoski, Ivan S. Paskov, Hristo S. Paskov +2
A Distributed Second-Order Algorithm You Can Trust
Celestine Dünner, Aurelien Lucchi, Matilde Gargiani +3
COLA: Decentralized Linear Learning
Lie He, An Bian, Martin Jaggi