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)

Differentially Private Densest Subgraph AISTATS 2022 Diffusion Models as Plug-and-Play Priors NeurIPS 2022 Dimensionality and Coordination in Voting: The Distortion of STV AAAI 2022 Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization ICML 2022 Dimension-free convergence rates for gradient Langevin dynamics in RKHS COLT 2022 DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems NeurIPS 2022 Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions NeurIPS 2022 Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback IJCAI 2022 Discrete Probabilistic Inverse Optimal Transport ICML 2022 Disentangling the Computational Complexity of Network Untangling IJCAI 2022 Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022 Distributed Distributionally Robust Optimization with Non-Convex Objectives NeurIPS 2022 Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space NeurIPS 2022 Distributed Learning with Strategic Users: A Repeated Game Approach AAAI 2022 Distributed Online Convex Optimization with Compressed Communication NeurIPS 2022 Distributed Online Learning for Joint Regret with Communication Constraints ALT 2022 Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity NeurIPS 2022 Distributed Randomized Sketching Kernel Learning AAAI 2022 Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022 Distributionally-Aware Kernelized Bandit Problems for Risk Aversion ICML 2022 Distributionally Robust Optimization via Ball Oracle Acceleration NeurIPS 2022 Distribution Regression with Sliced Wasserstein Kernels ICML 2022 Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes AISTATS 2022 Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions AAAI 2022 Donar: Anonymous VoIP over Tor NSDI 2022