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)

Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning ICML 2024 Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process ICML 2024 Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints NeurIPS 2024 Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NeurIPS 2024 Beyond the Calibration Point: Mechanism Comparison in Differential Privacy ICML 2024 Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks ICML 2024 Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution AAAI 2024 Big Learning Expectation Maximization AAAI 2024 Bilateral Gradual Semantics for Weighted Argumentation AAAI 2024 Binary Search with Distributional Predictions NeurIPS 2024 Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares ICML 2024 Blurry Video Compression: A Trade-Off Between Visual Enhancement and Data Compression WACV 2024 Boosting Diffusion Models with an Adaptive Momentum Sampler IJCAI 2024 Boosting Offline Optimizers with Surrogate Sensitivity ICML 2024 Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium ICML 2024 Borda Regret Minimization for Generalized Linear Dueling Bandits ICML 2024 BOtied: Multi-objective Bayesian optimization with tied multivariate ranks ICML 2024 Boundary Decomposition for Nadir Objective Vector Estimation NeurIPS 2024 Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data ICML 2024 Box Facets and Cut Facets of Lifted Multicut Polytopes ICML 2024 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning NeurIPS 2024 Breaking isometric ties and introducing priors in Gromov-Wasserstein distances AISTATS 2024 Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems AISTATS 2024 Bridging the Gap between General and Down-Closed Convex Sets in Submodular Maximization IJCAI 2024 Budget Feasible Mechanisms: A Survey IJCAI 2024