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)

Disentangling Linear Quadratic Control with Untrusted ML Predictions NeurIPS 2024 Disjoint Partial Enumeration without Blocking Clauses AAAI 2024 Dissimilarity Bandits AISTATS 2024 Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed AAAI 2024 Distributed Bilevel Optimization with Communication Compression ICML 2024 Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery ICML 2024 Distributed Kernel-Driven Data Clustering JMLR 2024 Distributed Least Squares in Small Space via Sketching and Bias Reduction NeurIPS 2024 Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions UAI 2024 Distributionally Robust Performative Prediction NeurIPS 2024 Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets AISTATS 2024 Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NeurIPS 2024 Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NeurIPS 2024 Distributional Reinforcement Learning with Regularized Wasserstein Loss NeurIPS 2024 Document Alignment based on Overlapping Fixed-Length Segments ACL 2024 Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors NeurIPS 2024 Does Label Smoothing Help Deep Partial Label Learning? ICML 2024 DOGE-Train: Discrete Optimization on GPU with End-to-End Training AAAI 2024 DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus NeurIPS 2024 Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences NeurIPS 2024 Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling NeurIPS 2024 Double Auction on Diffusion Network AAAI 2024 Double-Bounded Optimal Transport for Advanced Clustering and Classification AAAI 2024 Double Momentum Method for Lower-Level Constrained Bilevel Optimization ICML 2024 Double-Step Alternating Extragradient with Increasing Timescale Separation for Finding Local Minimax Points: Provable Improvements ICML 2024