conftrace_

Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

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Papers (including subtopics)

Meta Optimal Transport ICML 2023 Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023 Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams AAAI 2023 Metric Nearness Made Practical AAAI 2023 Microcanonical Hamiltonian Monte Carlo JMLR 2023 Mind the Gap: Offline Policy Optimization for Imperfect Rewards ICLR 2023 Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints ICML 2023 Minimax estimation of discontinuous optimal transport maps: The semi-discrete case ICML 2023 Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness COLT 2023 Minimax-Optimal Location Estimation NeurIPS 2023 Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy NeurIPS 2023 Minimizing Dynamic Regret on Geodesic Metric Spaces COLT 2023 Minimizing Reachability Times on Temporal Graphs via Shifting Labels IJCAI 2023 Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier AISTATS 2023 Min-Max Submodular Ranking for Multiple Agents AAAI 2023 Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes ICML 2023 Misspecification in Inverse Reinforcement Learning AAAI 2023 Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach ICLR 2023 Mixed Linear Regression via Approximate Message Passing AISTATS 2023 Mixed Regression via Approximate Message Passing JMLR 2023 Mixed-Variable Black-Box Optimisation Using Value Proposal Trees AAAI 2023 Mixing Predictions for Online Metric Algorithms ICML 2023 Mixtures of All Trees AISTATS 2023 Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM NeurIPS 2023 Model-Based Control with Sparse Neural Dynamics NeurIPS 2023