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)

Collective Certified Robustness against Graph Injection Attacks ICML 2024 COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems AAAI 2024 Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better ICML 2024 Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback ICLR 2024 Combinatorial Stochastic-Greedy Bandit AAAI 2024 Combining Experimental and Historical Data for Policy Evaluation ICML 2024 Communication Bounds for the Distributed Experts Problem NeurIPS 2024 Communication Efficient Distributed Newton Method over Unreliable Networks AAAI 2024 Compact Optimality Verification for Optimization Proxies ICML 2024 Comparing Ways of Obtaining Candidate Orderings from Approval Ballots IJCAI 2024 Competition among Pairwise Lottery Contests AAAI 2024 Compilation and Fast Model Counting beyond CNF IJCAI 2024 Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting AAAI 2024 Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints AISTATS 2024 Component Fourier Neural Operator for Singularly Perturbed Differential Equations AAAI 2024 Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae AAAI 2024 Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024 Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth ICML 2024 Computational Complexity of Verifying the Group No-show Paradox IJCAI 2024 Computation-Aware Learning for Stable Control with Gaussian Process RSS 2024 Computing epidemic metrics with edge differential privacy AISTATS 2024 Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints AAAI 2024 Computing Optimal Equilibria in Repeated Games with Restarts IJCAI 2024 Concentration of empirical barycenters in metric spaces ALT 2024 Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms IJCAI 2024