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Optimization

1184 directly classified papers

Papers per year

Papers

Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint JMLR 2023
P1AC: Revisiting Absolute Pose From a Single Affine Correspondence ICCV 2023
Graph-Aided Online Multi-Kernel Learning JMLR 2023
Discovering Many Diverse Solutions with Bayesian Optimization AISTATS 2023
Optimizing ROC Curves with a Sort-Based Surrogate Loss for Binary Classification and Changepoint Detection JMLR 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation ICCV 2023
How Do You Want Your Greedy: Simultaneous or Repeated? JMLR 2023
BUT Systems for IWSLT 2023 Marathi - Hindi Low Resource Speech Translation Task ACL 2023
Loss-Curvature Matching for Dataset Selection and Condensation AISTATS 2023
Character alignment methods for dialect-to-standard normalization ACL 2023
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness AISTATS 2023
Parametric Information Maximization for Generalized Category Discovery ICCV 2023
HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Network NSDI 2023
spred: Solving L1 Penalty with SGD ICML 2023
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data ICML 2023
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023
Coordinate Descent Methods for Fractional Minimization ICML 2023
GeoLS: Geodesic Label Smoothing for Image Segmentation MIDL 2023
Transformed Distribution Matching for Missing Value Imputation ICML 2023
Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition JMLR 2023
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity ICML 2023
Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer IJCAI 2023
On Biased Compression for Distributed Learning JMLR 2023
Yes, we CANN: Constrained Approximate Nearest Neighbors for Local Feature-Based Visual Localization ICCV 2023