Martin Jaggi
Publications by Year
Research Areas
Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques, Topic Modeling, Privacy-Preserving Technologies in Data, Natural Language Processing Techniques
Most-Cited Works
- → Advances and Open Problems in Federated Learning(2020)4,363 cited
- → Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization(2013)892 cited
- → Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features(2018)695 cited
- → Ensemble Distillation for Robust Model Fusion in Federated Learning(2020)485 cited
- → Sparsified SGD with Memory(2018)233 cited
- → Simple Unsupervised Keyphrase Extraction using Sentence Embeddings(2018)232 cited
- A Simple Algorithm for Nuclear Norm Regularized Problems(2010)
- → Distributed optimization with arbitrary local solvers(2017)195 cited
- → Unsupervised Scalable Representation Learning for Multivariate Time Series(2019)187 cited
- → Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication(2019)185 cited