Cover Image

Parameter Optimization with Conscious Allocation (POCA)

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Inman, Joshua, Khandait, Tanmay, Pedrielli, Giulia, Sankar, Lalitha
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

POCAII: Parameter Optimization with Conscious Allocation using Iterative Intelligence
by: Inman, Joshua, et al.
Published: (2025)

From Layers to Networks: Comparing Neural Representations via Diffusion Geometry
by: Khandait, Atharva, et al.
Published: (2026)

Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining
by: Stromberg, Nathan, et al.
Published: (2025)

Causality by Abstraction: Symbolic Rule Learning in Multivariate Timeseries with Large Language Models
by: Biswas, Preetom, et al.
Published: (2026)

A Semi-Supervised Approach for Power System Event Identification
by: Taghipourbazargani, Nima, et al.
Published: (2023)

A Consistency-Centric Approach to Set-Based Optimization with Multiple Models of Unranked Fidelity
by: Morey, Danielle F., et al.
Published: (2026)

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features
by: Welfert, Monica, et al.
Published: (2025)

An Adversarial Approach to Evaluating the Robustness of Event Identification Models
by: Bahwal, Obai, et al.
Published: (2024)

Correcting Class Imbalance in Prior-Data Fitted Networks for Tabular Classification
by: McDowell, Samuel, et al.
Published: (2026)

Theoretical Guarantees of Data Augmented Last Layer Retraining Methods
by: Welfert, Monica, et al.
Published: (2024)

GeoClip: Geometry-Aware Clipping for Differentially Private SGD
by: Gilani, Atefeh, et al.
Published: (2025)

Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading
by: Stromberg, Nathan, et al.
Published: (2024)

Robust Model Selection of Gaussian Graphical Models
by: Zahin, Abrar, et al.
Published: (2022)

AugLoss: A Robust Augmentation-based Fine Tuning Methodology
by: Otstot, Kyle, et al.
Published: (2022)

Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains
by: Stromberg, Nathan, et al.
Published: (2024)

Allocation of Parameters in Transformers
by: Yu, Ruoxi, et al.
Published: (2025)

Bayesian Parameter Shift Rule in Variational Quantum Eigensolvers
by: Pedrielli, Samuele, et al.
Published: (2025)

Reveal-or-Obscure: A Differentially Private Sampling Algorithm for Discrete Distributions
by: Tasnim, Naima, et al.
Published: (2025)

CORAL: Disentangling Latent Representations in Long-Tailed Diffusion
by: Rodriguez, Esther, et al.
Published: (2025)

CLAD-Net: Continual Activity Recognition in Multi-Sensor Wearable Systems
by: Azghan, Reza Rahimi, et al.
Published: (2025)

Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters
by: Miller, John Joshua, et al.
Published: (2024)

Explainable Bayesian Optimization
by: Chakraborty, Tanmay, et al.
Published: (2024)

Gated Adaptation for Continual Learning in Human Activity Recognition
by: Azghan, Reza Rahimi, et al.
Published: (2026)

Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling
by: Chowdhury, Raju, et al.
Published: (2026)

ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport
by: Gilani, Atefeh, et al.
Published: (2026)

Policy Optimization for Dynamic Heart Transplant Allocation
by: Anagnostides, Ioannis, et al.
Published: (2025)

The Consciousness Cluster: Emergent preferences of Models that Claim to be Conscious
by: Chua, James, et al.
Published: (2026)

Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback
by: Goyal, Tanmay, et al.
Published: (2025)

Optimizing Specific and Shared Parameters for Efficient Parameter Tuning
by: Nguyen, Van-Anh, et al.
Published: (2025)

UNCA: A Neutrosophic-Based Framework for Robust Clustering and Enhanced Data Interpretation
by: Dhinakaran, D., et al.
Published: (2025)

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset
by: Farahmand, Ebrahim, et al.
Published: (2025)

Learn to Optimize Resource Allocation under QoS Constraint of AR
by: Chen, Shiyong, et al.
Published: (2025)

Consciousness as a Functor
by: Mahadevan, Sridhar
Published: (2025)

How to Allocate, How to Learn? Dynamic Rollout Allocation and Advantage Modulation for Policy Optimization
by: Fang, Yangyi, et al.
Published: (2026)

GEO: Generative Engine Optimization
by: Aggarwal, Pranjal, et al.
Published: (2023)

Towards Stability of Parameter-free Optimization
by: Pang, Yijiang, et al.
Published: (2024)

Autoregressive Policy Optimization for Constrained Allocation Tasks
by: Winkel, David, et al.
Published: (2024)

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization
by: Mukherjee, Subhojyoti, et al.
Published: (2024)

Optimizing Treatment Allocation in the Presence of Interference
by: Caljon, Daan, et al.
Published: (2024)

Example-based Explanations for Random Forests using Machine Unlearning
by: Surve, Tanmay, et al.
Published: (2024)