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Poster
Thu 1:00 Hopfield Networks is All You Need
Hubert Ramsauer · Bernhard Schäfl · Johannes Lehner · Philipp Seidl · Michael Widrich · Lukas Gruber · Markus Holzleitner · Thomas Adler · David Kreil · Michael K Kopp · Günter Klambauer · Johannes Brandstetter · Sepp Hochreiter
Poster
Tue 9:00 On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
Kenji Kawaguchi
Workshop
UNDERSTANDING CLIPPED FEDAVG: CONVERGENCE AND CLIENT-LEVEL DIFFERENTIAL PRIVACY
Xinwei Zhang · Xiangyi Chen · Jinfeng Yi · Steven Wu · Mingyi Hong
Poster
Mon 17:00 Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
Ziyi Chen · Yi Zhou · Tengyu Xu · Yingbin Liang
Oral
Tue 19:55 Global Convergence of Three-layer Neural Networks in the Mean Field Regime
Huy Tuan Pham · Phan-Minh Nguyen
Workshop
Fri 9:06 Q&A for Biased Client Selection for Improved Convergence of Federated Learning
Poster
Thu 17:00 Global Convergence of Three-layer Neural Networks in the Mean Field Regime
Huy Tuan Pham · Phan-Minh Nguyen
Poster
Thu 17:00 Linear Convergent Decentralized Optimization with Compression
Xiaorui Liu · Yao Li · Rongrong Wang · Jiliang Tang · Ming Yan
Workshop
Fri 8:40 Biased Client Selection for Improved Convergence of Federated Learning
Gauri Joshi
Poster
Thu 9:00 Linear Last-iterate Convergence in Constrained Saddle-point Optimization
Chen-Yu Wei · Chung-Wei Lee · Mengxiao Zhang · Haipeng Luo
Poster
Mon 9:00 Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
Wei Deng · Qi Feng · Georgios Karagiannis · Guang Lin · Faming Liang
Poster
Mon 9:00 On the Impossibility of Global Convergence in Multi-Loss Optimization
Alistair Letcher