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Contrastive dimension reduction: when and how?
Neural Information Processing Systems
Dimension reduction (DR) is an important and widely studied technique in exploratory data analysis.
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SequentialAttention+ + for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
Neural Information Processing Systems
Pruning methods for neural networks [LeCun et al., 1989] replace dense weight matrices by sparse
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IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL *Pascal Leroy
Neural Information Processing Systems
In IMP, a multi-component engineering system is subject to a risk of failure due to its components' damage condition.
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Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
Neural Information Processing Systems
We study the problem of online adaptive policy selection for nonlinear time-varying discrete-time dynamical systems.
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