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)

Towards Fast and Scalable Normal Integration using Continuous Components WACV 2026 Towards Single Exponential Time for Temporal and Spatial Reasoning: A Study via Redundancy and Dynamic Programming AAAI 2026 Towards Uncertainty-aware Unsupervised Domain Adaptation for Videos and Time-Series with Causal Optimal Transport CVPR 2026 TRANSPORTER: Transferring Visual Semantics from VLM Manifolds CVPR 2026 Truncated Counterfactual Learning for Anytime Multi-Agent Path Finding AAAI 2026 UCPO: A Universal Constrained Combinatorial Optimization Method via Preference Optimization AAAI 2026 Uncertainty-Aware Test-Time Search for Optimization Problem Solving ACL 2026 Unified Minimax Optimization Framework for Propensity Score Estimation in Debiased Recommendation AAAI 2026 Universal Dynamic Regret and Constraint Violation Bounds for Constrained Online Convex Optimization ALT 2026 Universal Safety Controllers with Learned Prophecies AAAI 2026 Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem AAAI 2026 Vanilla SGD with Momentum Survives Heavy-Tailed Noise: Convergence Analysis without Gradient Clipping or Normalization UAI 2026 Variance Computation for Weighted Model Counting with Knowledge Compilation Approach AAAI 2026 Variational Graph-based Normal Integration CVPR 2026 VDOT: Efficient Unified Video Creation via Optimal Transport Distillation CVPR 2026 Verifying Nonlinear Neural Feedback Systems using Polyhedral Enclosures L4DC 2026 Vision-Language Model Guided Source-Free Domain Adaptation via Optimal Transport CVPR 2026 Vocabulary Scaling Law: Tuning Open-vocabulary Predictors for Their Openness CVPR 2026 Warm-starting active-set solvers using graph neural networks L4DC 2026 Wasserstein Gradient Flows for Scalable and Regularized Barycenter Computation UAI 2026 Weakest Bidder Types and New Core-Selecting Combinatorial Auctions AAAI 2026 Which Directions Matter? Sparse Design for Affine Robust Optimization UAI 2026 $β$-th order Acyclicity Derivatives for DAG Learning AISTATS 2025 (1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error AAAI 2025 3D Student Splatting and Scooping CVPR 2025