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)

Enhancing Datalog Reasoning with Hypertree Decompositions IJCAI 2023 Entropic Neural Optimal Transport via Diffusion Processes NeurIPS 2023 Entropy Regularization for Population Estimation AAAI 2023 Equity Promotion in Public Transportation AAAI 2023 Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics NeurIPS 2023 Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023 Essential Matrix Estimation using Convex Relaxations in Orthogonal Space ICCV 2023 Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks AAAI 2023 Estimating the Rate-Distortion Function by Wasserstein Gradient Descent NeurIPS 2023 Estimating virtual targets for lingual stop consonants using general Tau theory Interspeech 2023 Evaluating and reducing the distance between synthetic and real speech distributions Interspeech 2023 Event Process Typing via Hierarchical Optimal Transport AAAI 2023 EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only ACL 2023 Ewald-based Long-Range Message Passing for Molecular Graphs ICML 2023 Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models NeurIPS 2023 Exact Inference in High-order Structured Prediction ICML 2023 Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation NeurIPS 2023 Experimental Designs for Heteroskedastic Variance NeurIPS 2023 Explainable and Efficient Randomized Voting Rules NeurIPS 2023 Explaining Temporal Graph Models through an Explorer-Navigator Framework ICLR 2023 Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators JMLR 2023 Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation IJCAI 2023 Exploring Local Norms in Exp-concave Statistical Learning COLT 2023 Exploring Structural Similarity in Fitness Landscapes via Graph Data Mining: A Case Study on Number Partitioning Problems IJCAI 2023 Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives AAAI 2023