Co-occurring keywords · papers mentioning both
Papers
Objective drives the consistency of representational similarity across datasets
ICML 2025
f-Divergence Based Classification: Beyond the Use of Cross-Entropy
ICML 2024
Discovering Temporally-Aware Reinforcement Learning Algorithms
ICLR 2024
Identifying, Mitigating, and Anticipating Bias in Algorithmic Decisions
AAAI 2024
AANG : Automating Auxiliary Learning
ICLR 2023
Tailoring Language Generation Models under Total Variation Distance
ICLR 2023
Fairness constraint of Fuzzy C-means Clustering improves clustering fairness
ACML 2021
Objective-Based Hierarchical Clustering of Deep Embedding Vectors
AAAI 2021
Rethinking the Objectives of Extractive Question Answering
EMNLP 2021
The ensmallen library for flexible numerical optimization
JMLR 2021
Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions
JMLR 2020
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
ICLR 2020
Modulating Surrogates for Bayesian Optimization
ICML 2020
Planning with General Objective Functions: Going Beyond Total Rewards
NeurIPS 2020
A Modified Algorithm for Multiple Input Spectrogram Inversion
Interspeech 2019
Bayesian Optimization with Unknown Search Space
NeurIPS 2019
Computer Generation of Birds of a Feather Puzzles
AAAI 2019
Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks
ICCV 2019
Boosting Combinatorial Problem Modeling with Machine Learning
IJCAI 2018
Sequence Selection by Pareto Optimization
IJCAI 2018
Alternative Objective Functions for Training MT Evaluation Metrics
ACL 2017
A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments
ACL 2017
Emulating the Expert: Inverse Optimization through Online Learning
ICML 2017
Enabling Robots to Communicate Their Objectives
RSS 2017
Minimum Average Cost Clustering
NeurIPS 2010