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Optimization

14,983 papers

Papers per year

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Papers

Rethinking the Pruning Criteria for Convolutional Neural Network NIPS 2021
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection NIPS 2021
Differentiable Multiple Shooting Layers NIPS 2021
Global-aware Beam Search for Neural Abstractive Summarization NIPS 2021
Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models NIPS 2021
Joint inference and input optimization in equilibrium networks NIPS 2021
Adversarial Regression with Doubly Non-negative Weighting Matrices NIPS 2021
Relaxing Local Robustness NIPS 2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs NIPS 2021
Risk-averse Heteroscedastic Bayesian Optimization NIPS 2021
Formalizing the Generalization-Forgetting Trade-off in Continual Learning NIPS 2021
Boosting with Multiple Sources NIPS 2021
Projected GANs Converge Faster NIPS 2021
Generating High-Quality Explanations for Navigation in Partially-Revealed Environments NIPS 2021
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning NIPS 2021
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors NIPS 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds NIPS 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling NIPS 2021
Image Generation using Continuous Filter Atoms NIPS 2021
Learning Fast-Inference Bayesian Networks NIPS 2021
ErrorCompensatedX: error compensation for variance reduced algorithms NIPS 2021
Deep Contextual Video Compression NIPS 2021
It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems NIPS 2021
Training Over-parameterized Models with Non-decomposable Objectives NIPS 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices NIPS 2021