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Thu Jul 21 05:30 AM -- 05:35 AM (KST) @ Room 327 - 329
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
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Thu Jul 21 05:35 AM -- 05:40 AM (KST) @ Room 327 - 329
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
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Thu Jul 21 05:40 AM -- 05:45 AM (KST) @ Room 327 - 329
Auxiliary Learning with Joint Task and Data Scheduling
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Thu Jul 21 05:45 AM -- 05:50 AM (KST) @ Room 327 - 329
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
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Thu Jul 21 05:50 AM -- 05:55 AM (KST) @ Room 327 - 329
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
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Thu Jul 21 05:55 AM -- 06:00 AM (KST) @ Room 327 - 329
Generalizing Gaussian Smoothing for Random Search
Oral
Thu Jul 21 06:00 AM -- 06:20 AM (KST) @ Room 327 - 329
A General Recipe for Likelihood-free Bayesian Optimization
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Thu Jul 21 06:20 AM -- 06:25 AM (KST) @ Room 327 - 329
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming
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Thu Jul 21 06:25 AM -- 06:30 AM (KST) @ Room 327 - 329
Risk-Averse No-Regret Learning in Online Convex Games
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Thu Jul 21 06:30 AM -- 06:35 AM (KST) @ Room 327 - 329
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters
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Thu Jul 21 06:35 AM -- 06:40 AM (KST) @ Room 327 - 329
Robust Multi-Objective Bayesian Optimization Under Input Noise
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Thu Jul 21 06:40 AM -- 06:45 AM (KST) @ Room 327 - 329
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
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Thu Jul 21 06:45 AM -- 06:50 AM (KST) @ Room 327 - 329
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound
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Thu Jul 21 06:50 AM -- 06:55 AM (KST) @ Room 327 - 329
The power of first-order smooth optimization for black-box non-smooth problems
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