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