Poster
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Tue 9:00
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On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
Sadhika Malladi · Kaifeng Lyu · Abhishek Panigrahi · Sanjeev Arora
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Workshop
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Sat 9:45
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Stochastic Differentially Private and Fair Learning
Andrew Lowy · Devansh Gupta · Meisam Razaviyayn
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Poster
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Wed 9:00
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Riemannian Neural SDE: Learning Stochastic Representations on Manifolds
Sung Woo Park · Hyomin Kim · Kyungjae Lee · Junseok Kwon
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Poster
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Wed 14:00
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Score-Based Generative Models Detect Manifolds
Jakiw Pidstrigach
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Poster
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Wed 9:00
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Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent
Soon Hoe Lim · Yijun Wan · Umut Simsekli
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Workshop
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Stochastic Gradient Estimator for Differentiable NAS
Libin Hou · Linyuan Wang · Qi Peng · Bin Yan
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Poster
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Wed 9:00
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Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics
Cristopher Salvi · Maud Lemercier · Andris Gerasimovics
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Poster
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Wed 14:00
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Thompson Sampling Efficiently Learns to Control Diffusion Processes
Mohamad Kazem Shirani Faradonbeh · Mohamad Sadegh Shirani Faradonbeh · Mohsen Bayati
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Poster
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Thu 9:00
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Learning Fractional White Noises in Neural Stochastic Differential Equations
Anh Tong · Thanh Nguyen-Tang · Toan Tran · Jaesik Choi
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Poster
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Tue 9:00
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Differentially Private Learning Needs Hidden State (Or Much Faster Convergence)
Jiayuan Ye · Reza Shokri
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Poster
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EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
Min Zhao · Fan Bao · Chongxuan LI · Jun Zhu
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Poster
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Wed 14:00
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Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
Kazuki Irie · Francesco Faccio · Jürgen Schmidhuber
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