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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)

Papers per year

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16
133
440
1,353
1,441
2000
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Papers (including subtopics)

Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features ICML 2024 Towards Understanding Inductive Bias in Transformers: A View From Infinity ICML 2024 Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NeurIPS 2024 Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach AISTATS 2024 Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NeurIPS 2024 Training-Free Quantum Architecture Search AAAI 2024 Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization ICML 2024 Transfer Learning for Latent Variable Network Models NeurIPS 2024 Transition Constrained Bayesian Optimization via Markov Decision Processes NeurIPS 2024 Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games AAAI 2024 Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing ACL 2024 Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence ICML 2024 Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024 Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components JMLR 2024 Truly No-Regret Learning in Constrained MDPs ICML 2024 Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness AAAI 2024 Truthful High Dimensional Sparse Linear Regression NeurIPS 2024 Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting AISTATS 2024 Tuning-Free Stochastic Optimization ICML 2024 Turnstile ℓ_p leverage score sampling with applications ICML 2024 Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints ICML 2024 Two-Sided Facility Location Games IJCAI 2024 Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation AAAI 2024 Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data ICML 2024 Two-timescale Extragradient for Finding Local Minimax Points ICLR 2024