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Workshop
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Improving performance on the ManiSkill Challenge via Super-convergence and Multi-Task Learning
Fabian Dubois · Eric Platon · Tom Sonoda
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Poster
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Tue 2:30
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Gradient Step Denoiser for convergent Plug-and-Play
Samuel Hurault · Arthur Leclaire · Nicolas Papadakis
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Poster
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Wed 18:30
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On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning
Che Wang · Shuhan Yuan · Kai Shao · Keith Ross
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Poster
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Wed 18:30
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Particle Stochastic Dual Coordinate Ascent: Exponential convergent algorithm for mean field neural network optimization
Kazusato Oko · Taiji Suzuki · Atsushi Nitanda · Denny Wu
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Poster
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Tue 18:30
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On feature learning in neural networks with global convergence guarantees
Zhengdao Chen · Eric Vanden-Eijnden · Joan Bruna
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Poster
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Wed 18:30
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Toward Efficient Low-Precision Training: Data Format Optimization and Hysteresis Quantization
SunWoo Lee · Jeongwoo Park · Dongsuk Jeon
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Spotlight
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Mon 10:30
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Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Thomas Pethick · Puya Latafat · Panos Patrinos · Olivier Fercoq · Volkan Cevher
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Poster
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Tue 10:30
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Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward
FNU Hairi · Jia Liu · Songtao Lu
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Poster
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Tue 18:30
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Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features
Jiuhai Chen · Jonas Mueller · Vassilis N. Ioannidis · Soji Adeshina · Yangkun Wang · Tom Goldstein · David Wipf
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Poster
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Wed 18:30
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Convergent and Efficient Deep Q Learning Algorithm
Zhikang T Wang · Masahito Ueda
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Poster
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Thu 10:30
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On the Convergence of mSGD and AdaGrad for Stochastic Optimization
Ruinan Jin · Yu XING · Xingkang He
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Poster
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Mon 10:30
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Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Thomas Pethick · Puya Latafat · Panos Patrinos · Olivier Fercoq · Volkan Cevher
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