conftrace_

alternating optimization

57 papers

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Co-occurring keywords

unsupervised learning (3264) bilevel optimization (194) partial label learning (68) convex optimization (1321) probabilistic model (476) matrix factorization (529) probabilistic modeling (852) feature learning (1311) semi-supervised learning (2341) dimensionality reduction (720)

Papers

Wrapped Partial Label Dimensionality Reduction via Dependence Maximization IJCAI 2025
CoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval EMNLP 2025
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization NIPS 2024
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods AISTATS 2024
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization NIPS 2024
An Optimal Transport View for Subspace Clustering and Spectral Clustering AAAI 2024
Alternately Optimized Graph Neural Networks ICML 2023
TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs NSDI 2023
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks ICML 2023
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition NIPS 2023
Robust Model Reasoning and Fitting via Dual Sparsity Pursuit NIPS 2023
Towards Better Decision Forests: Forest Alternating Optimization CVPR 2023
Alternating Projected SGD for Equality-constrained Bilevel Optimization AISTATS 2023
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations ICML 2023
Joint Optimization of Sampling Rate Offsets Based on Entire Signal Relationship Among Distributed Microphones INTERSPEECH 2022
Fusion Multiple Kernel K-means AAAI 2022
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse AAAI 2022
Anisotropic Additive Quantization for Fast Inner Product Search AAAI 2022
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence AISTATS 2021
Explore Image Deblurring via Encoded Blur Kernel Space CVPR 2021
Event and Entity Coreference using Trees to Encode Uncertainty in Joint Decisions EMNLP 2021
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model AAAI 2021
Teaching the Old Dog New Tricks: Supervised Learning with Constraints AAAI 2021
Maximum Margin Multi-Dimensional Classification AAAI 2020
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality JMLR 2020