conftrace_

local optima

19 papers

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Co-occurring keywords

local optimum (24) expectation maximization (255) runtime analysis (41) evolutionary algorithm (264) non-convex optimization (547) large language model (13587) bayesian network (378) multi-objective optimization (364) parameter learning (65) deep reinforcement learning (903)

Papers

An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems AAAI 2025
Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator IJCAI 2025
Localized Zeroth-Order Prompt Optimization NIPS 2024
How to Use the Metropolis Algorithm for Multi-Objective Optimization? AAAI 2024
Big Learning Expectation Maximization AAAI 2024
Controlling Continuous Relaxation for Combinatorial Optimization NIPS 2024
Insights into Ordinal Embedding Algorithms: A Systematic Evaluation JMLR 2023
Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract) AAAI 2023
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression NIPS 2021
Escaping Local Optima with Non-Elitist Evolutionary Algorithms AAAI 2021
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ICML 2021
A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning IJCAI 2019
Porcupine Neural Networks: Approximating Neural Network Landscapes NIPS 2018
Proximity Variational Inference AISTATS 2018
Benefits of over-parameterization with EM NIPS 2018
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning NIPS 2018
Statistical and Computational Guarantees for the Baum-Welch Algorithm JMLR 2017
A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization PGM 2016
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012