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Algorithms
Algorithms; Algorithms
Algorithms -> Bandit Algorithms; Reinforcement Learning and Planning
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17 Results
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Poster
Tue 18:30
On the Suboptimality of Negative Momentum for Minimax Optimization
Guodong Zhang · Yuanhao Wang
Poster
Wed 12:45
Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension
Yiliang Zhang · Zhiqi Bu
Poster
Thu 7:30
Convergence Properties of Stochastic Hypergradients
Riccardo Grazzi · Massimiliano Pontil · Saverio Salzo
Poster
Wed 12:45
Significance of Gradient Information in Bayesian Optimization
Shubhanshu Shekhar · Tara Javidi
Poster
Thu 7:30
Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent
Suriya Gunasekar · Blake Woodworth · Nathan Srebro
Poster
Wed 12:45
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency
yuyang deng · Mehrdad Mahdavi
Poster
Tue 14:00
Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications
Shinsaku Sakaue
Poster
Thu 7:30
Explicit Regularization of Stochastic Gradient Methods through Duality
Anant Raj · Francis Bach
Poster
Tue 14:00
Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function
Ioannis Tsaknakis · Mingyi Hong
Poster
Wed 6:00
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications
Guillaume Ausset · Stephan Clémençon · François Portier
Poster
Tue 18:30
vqSGD: Vector Quantized Stochastic Gradient Descent
Venkata Gandikota · Daniel Kane · Raj Kumar Maity · Arya Mazumdar
Poster
Thu 7:30
LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads
Hossein Shokri Ghadikolaei · Sebastian Stich · Martin Jaggi
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