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Poster
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Tue 4:30
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Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
Riccardo De Santi · Manish Prajapat · Andreas Krause
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Poster
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Wed 4:30
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Mollification Effects of Policy Gradient Methods
Tao Wang · Sylvia Herbert · Sicun Gao
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Poster
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Tue 2:30
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Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
Jaemoo Choi · Jaewoong Choi · Myungjoo Kang
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Poster
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Wed 4:30
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Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces
Ziyi Chen · Heng Huang
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Oral
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Wed 8:00
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SAPG: Split and Aggregate Policy Gradients
Jayesh Singla · Ananye Agarwal · Deepak Pathak
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Poster
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Wed 2:30
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TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision
Zhuo Chen · Jacob McCarran · Esteban Vizcaino · Marin Soljačić · Di Luo
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Poster
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Thu 4:30
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Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations
Feng Gao · Liangzhi Shi · Shenao Zhang · Zhaoran Wang · Yi Wu
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Poster
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Tue 2:30
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Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation
Gavin Brown · Krishnamurthy Dvijotham · Georgina Evans · Daogao Liu · Adam Smith · Abhradeep Guha Thakurta
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Poster
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Tue 4:30
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A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
Hongchang Gao
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Poster
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Thu 2:30
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Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
Minh Hoang · Azza Fadhel · Aryan Deshwal · Jana Doppa · Nghia Hoang
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Poster
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Thu 4:30
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Careful with that Scalpel: Improving Gradient Surgery with an EMA
Yu-Guan Hsieh · James Thornton · Eugene Ndiaye · Michal Klein · Marco Cuturi · Pierre Ablin
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Poster
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Tue 2:30
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Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
Idan Achituve · Idit Diamant · Arnon Netzer · Gal Chechik · Ethan Fetaya
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