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Workshop
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A Stochastic Prox-Linear Method for CVaR Minimization
Si Yi Meng · Vasileios Charisopoulos · Robert Gower
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Poster
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Thu 14:00
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A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
Songtao Lu · Siliang Zeng · Xiaodong Cui · Mark Squillante · Lior Horesh · Brian Kingsbury · Jia Liu · Mingyi Hong
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Poster
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Wed 14:00
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Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
Michael K. Cohen · Samuel Daulton · Michael A Osborne
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Poster
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Wed 9:00
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Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
Rongzhe Wei · Haoteng YIN · Junteng Jia · Austin Benson · Pan Li
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Workshop
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Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models
Qiujiang Jin · Aryan Mokhtari · Nhat Ho · Tongzheng Ren
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Poster
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Wed 9:00
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Globally Gated Deep Linear Networks
Qianyi Li · Haim Sompolinsky
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Poster
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Wed 14:00
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Posterior and Computational Uncertainty in Gaussian Processes
Jonathan Wenger · Geoff Pleiss · Marvin Pförtner · Philipp Hennig · John Cunningham
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Poster
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Tue 9:00
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Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation
Ziwei Xu · Yogesh Rawat · Yongkang Wong · Mohan Kankanhalli · Mubarak Shah
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Poster
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Thu 14:00
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Subquadratic Kronecker Regression with Applications to Tensor Decomposition
Matthew Fahrbach · Gang Fu · Mehrdad Ghadiri
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Workshop
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Action Matching: A Variational Method for Learning Stochastic Dynamics from Samples
Kirill Neklyudov · Daniel Severo · Alireza Makhzani
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Poster
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Wed 14:00
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Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Ron Fisher · Dan Garber
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Workshop
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Stochastic Adaptive Regularization Method with Cubics: A High Probability Complexity Bound
Katya Scheinberg · Miaolan Xie
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