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Optimization

341 directly classified papers

Papers per year

Papers

Adaptive Hardness Negative Sampling for Collaborative Filtering AAAI 2024
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees AAAI 2024
Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations AAAI 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving CVPR 2024
Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs AAAI 2024
Investigation into Training Dynamics of Learned Optimizers (Student Abstract) AAAI 2024
A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem NIPS 2024
Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models NIPS 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD NIPS 2024
One-Shot Safety Alignment for Large Language Models via Optimal Dualization NIPS 2024
An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing AAAI 2023
Complexity of Reasoning with Cardinality Minimality Conditions AAAI 2023
Hybrid-Regressive Paradigm for Accurate and Speed-Robust Neural Machine Translation ACL 2023
GAN Prior Based Null-Space Learning for Consistent Super-resolution AAAI 2023
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach NIPS 2023
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm NIPS 2023
Rethinking Gauss-Newton for learning over-parameterized models NIPS 2023
Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport ACL 2023
A Continuous-time Stochastic Gradient Descent Method for Continuous Data JMLR 2023
Non-Convex Bilevel Optimization with Time-Varying Objective Functions NIPS 2023
Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms NIPS 2023
Online Ad Procurement in Non-stationary Autobidding Worlds NIPS 2023
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning NIPS 2023
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information NIPS 2023