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Workshop
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Particle-based Variational Inference with Preconditioned Functional Gradient Flow
Hanze Dong · Xi Wang · Yong Lin · Tong Zhang
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Workshop
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Conditional gradient-based method for bilevel optimization with convex lower-level problem
Ruichen Jiang · Nazanin Abolfazli · Aryan Mokhtari · Erfan Yazdandoost Hamedani
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Poster
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Wed 9:00
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Understanding Benign Overfitting in Gradient-Based Meta Learning
Lisha Chen · Songtao Lu · Tianyi Chen
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Poster
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Tue 9:00
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Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search
YAO SHU · Zhongxiang Dai · Zhaoxuan Wu · Bryan Kian Hsiang Low
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Workshop
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Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC
Patrick Emami · Aidan Perreault · Jeffrey Law · David Biagioni · Peter St. John
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Workshop
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GraViT-E: Gradient-based Vision Transformer Search with Entangled Weights
Rhea Sukthanker · Arjun Krishnakumar · sharat patil · Frank Hutter
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Poster
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Thu 9:00
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Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy · Daniel Lowd
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Workshop
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Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery
Mateusz Olko · Michał Zając · Aleksandra Nowak · Nino Scherrer · Yashas Annadani · Stefan Bauer · Łukasz Kuciński · Piotr Miłoś
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Workshop
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Efficient Exploration using Model-Based Quality-Diversity with Gradients
Bryan Lim · Manon Flageat · Antoine Cully
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Poster
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Differentiable hierarchical and surrogate gradient search for spiking neural networks
Kaiwei Che · Luziwei Leng · Kaixuan Zhang · Jianguo Zhang · Qinghu Meng · Jie Cheng · Qinghai Guo · Jianxing Liao
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Poster
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Thu 9:00
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Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
Taiki Miyagawa
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Workshop
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Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization
Chris Junchi Li · Angela Yuan · Gauthier Gidel · Michael Jordan
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