Optimization
17,731 papers
Papers per year
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546
768
1,185
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2,683
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Papers
Regret Minimization via Saddle Point Optimization
NeurIPS 2023
Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time
NeurIPS 2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
ICML 2023
Regularization of Polynomial Networks for Image Recognition
CVPR 2023
Regularize Implicit Neural Representation by Itself
CVPR 2023
Rehearsal-Free Online Continual Learning for Automatic Speech Recognition
Interspeech 2023
Reinforced Approximate Exploratory Data Analysis
AAAI 2023
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions
NeurIPS 2023
Reinforcement Learning for Adaptive Mesh Refinement
AISTATS 2023
Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories
AAAI 2023
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space
ICML 2023
Reinforcement Learning with Simple Sequence Priors
NeurIPS 2023
Reject Decoding via Language-Vision Models for Text-to-Image Synthesis
AAAI 2023
Relation-aware Ensemble Learning for Knowledge Graph Embedding
EMNLP 2023
Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification
NeurIPS 2023
Reliable Gradient-free and Likelihood-free Prompt Tuning
EACL 2023
Remixing-based Unsupervised Source Separation from Scratch
Interspeech 2023
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD
JMLR 2023
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
ICLR 2023
Reparameterization through Spatial Gradient Scaling
ICLR 2023
Re-parameterizing Your Optimizers rather than Architectures
ICLR 2023
Rephrasing the Reference for Non-autoregressive Machine Translation
AAAI 2023
Replicating Persistent Memory Key-Value Stores with Efficient RDMA Abstraction
OSDI 2023
Resetting the Optimizer in Deep RL: An Empirical Study
NeurIPS 2023
Reshaping State-Space Search: From Dominance to Contrastive Analysis
AAAI 2023