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Workshop
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Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction From Binary Classification Models
Sajith Rajapaksa · Farzad Khalvati
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Workshop
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Quantization based Optimization : Alternative Stochastic Approximation of Global Optimization
Jinwuk Seok · Changsik Cho
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Poster
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Wed 14:00
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Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning
Yejia Liu · Wang Zhu · Shaolei Ren
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Poster
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Thu 14:00
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A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree
Kaixun Hua · Jiayang Ren · Yankai Cao
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Poster
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Thu 14:00
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A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
Mathieu Dagréou · Pierre Ablin · Samuel Vaiter · Thomas Moreau
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Poster
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Wed 14:00
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Learning to Accelerate Partial Differential Equations via Latent Global Evolution
Tailin Wu · Takashi Maruyama · Jure Leskovec
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Poster
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Wed 14:00
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The Role of Baselines in Policy Gradient Optimization
Jincheng Mei · Wesley Chung · Valentin Thomas · Bo Dai · Csaba Szepesvari · Dale Schuurmans
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Poster
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Wed 9:00
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Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks
Mingze Wang · Chao Ma
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Workshop
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Gaussian Process Thompson sampling for Bayesian optimization of dynamic masking-based language model pre-training
Iñigo Urteaga · Moulay Zaidane Draidia · Tomer Lancewicki · Shahram Khadivi
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Poster
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Thu 14:00
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Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees
Avinandan Bose · Arunesh Sinha · Tien Mai
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Poster
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Thu 9:00
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Global Convergence of Direct Policy Search for State-Feedback H∞ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential
Xingang Guo · Bin Hu
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Poster
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Thu 14:00
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Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
Leonard Papenmeier · Luigi Nardi · Matthias Poloczek
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