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)

Learning-Based Abstractions for Nonlinear Constraint Solving IJCAI 2017 Learning Chordal Markov Networks via Branch and Bound NeurIPS 2017 Learning Combinatorial Optimization Algorithms over Graphs NeurIPS 2017 Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NeurIPS 2017 Learning Hedonic Games IJCAI 2017 Learning Local Dependence In Ordered Data JMLR 2017 Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations RSS 2017 Learning Populations of Parameters NeurIPS 2017 Learning ReLUs via Gradient Descent NeurIPS 2017 Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data NeurIPS 2017 Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems COLT 2017 Learning with Bandit Feedback in Potential Games NeurIPS 2017 Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons COLT 2017 Less than a Single Pass: Stochastically Controlled Stochastic Gradient AISTATS 2017 Libratus: The Superhuman AI for No-Limit Poker IJCAI 2017 Limitations on Variance-Reduction and Acceleration Schemes for Finite Sums Optimization NeurIPS 2017 Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls NeurIPS 2017 Linear regression without correspondence NeurIPS 2017 Linear Thompson Sampling Revisited AISTATS 2017 Linear Time Computation of Moments in Sum-Product Networks NeurIPS 2017 Local Search for Minimum Weight Dominating Set with Two-Level Configuration Checking and Frequency Based Scoring Function (Extended Abstract) IJCAI 2017 Logarithmic Time One-Against-Some ICML 2017 Lookahead Bayesian Optimization with Inequality Constraints NeurIPS 2017 Lossy Compression of Pattern Databases Using Acyclic Random Hypergraphs IJCAI 2017 Lost Relatives of the Gumbel Trick ICML 2017