Competition-Aware CPC Forecasting with Near-Market Coverage
Fuente:
arXiv
Saved in:
| Main Authors: | Frey, Sebastian, Beccari, Edoardo, Kranz, Maximilian, Pellizzari, Nicolò Alberto, Karaman, Ali Mete, Han, Qiwei, Kaiser, Maximilian |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape
by: Oldenburg, Fynn, et al.
Published: (2023)
by: Oldenburg, Fynn, et al.
Published: (2023)
Cross-Platform E-Commerce Product Categorization and Recategorization: A Multimodal Hierarchical Classification Approach
by: Gross, Lotte, et al.
Published: (2025)
by: Gross, Lotte, et al.
Published: (2025)
Variance-Aware Prior-Based Tree Policies for Monte Carlo Tree Search
by: Weichart, Maximilian
Published: (2025)
by: Weichart, Maximilian
Published: (2025)
Representation Homogeneity and Systemic Instability in AI-Dominated Financial Markets: A Structural Approach
by: Qiu, Yimeng, et al.
Published: (2026)
by: Qiu, Yimeng, et al.
Published: (2026)
From High-Dimensional Spaces to Verifiable ODD Coverage for Safety-Critical AI-based Systems
by: Stefani, Thomas, et al.
Published: (2026)
by: Stefani, Thomas, et al.
Published: (2026)
Relative Geometry of Neural Forecasters: Linking Accuracy and Alignment in Learned Latent Geometry
by: Kucukahmetler, Deniz, et al.
Published: (2026)
by: Kucukahmetler, Deniz, et al.
Published: (2026)
FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
by: Pöppel, Korbinian, et al.
Published: (2024)
by: Pöppel, Korbinian, et al.
Published: (2024)
ConTextTab: A Semantics-Aware Tabular In-Context Learner
by: Spinaci, Marco, et al.
Published: (2025)
by: Spinaci, Marco, et al.
Published: (2025)
A Theory of Interpretable Approximations
by: Bressan, Marco, et al.
Published: (2024)
by: Bressan, Marco, et al.
Published: (2024)
Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition
by: Popko, Maximilian, et al.
Published: (2022)
by: Popko, Maximilian, et al.
Published: (2022)
Joint Localization and Planning using Diffusion
by: Beyer, L. Lao, et al.
Published: (2024)
by: Beyer, L. Lao, et al.
Published: (2024)
Near-Optimal Regret for KL-Regularized Multi-Armed Bandits
by: Ji, Kaixuan, et al.
Published: (2026)
by: Ji, Kaixuan, et al.
Published: (2026)
Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
by: Urettini, Edoardo, et al.
Published: (2025)
by: Urettini, Edoardo, et al.
Published: (2025)
Simple Baselines are Competitive with Code Evolution
by: Gideoni, Yonatan, et al.
Published: (2026)
by: Gideoni, Yonatan, et al.
Published: (2026)
A Deep Learning Framework for Heat Demand Forecasting using Time-Frequency Representations of Decomposed Features
by: Ramachandran, Adithya, et al.
Published: (2026)
by: Ramachandran, Adithya, et al.
Published: (2026)
ECQ$^{\text{x}}$: Explainability-Driven Quantization for Low-Bit and Sparse DNNs
by: Becking, Daniel, et al.
Published: (2021)
by: Becking, Daniel, et al.
Published: (2021)
Diversity-Aware Adaptive Collocation for Physics-Informed Neural Networks via Sparse QUBO Optimization and Hybrid Coresets
by: Salloum, Hadi, et al.
Published: (2026)
by: Salloum, Hadi, et al.
Published: (2026)
DecoKAN: Interpretable Decomposition for Forecasting Cryptocurrency Market Dynamics
by: Gao, Yuan, et al.
Published: (2025)
by: Gao, Yuan, et al.
Published: (2025)
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation
by: Achtibat, Reduan, et al.
Published: (2022)
by: Achtibat, Reduan, et al.
Published: (2022)
DSL: Understanding and Improving Softmax Recommender Systems with Competition-Aware Scaling
by: Sahyouni, Bucher, et al.
Published: (2026)
by: Sahyouni, Bucher, et al.
Published: (2026)
Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
by: Erdogan, Mete, et al.
Published: (2025)
by: Erdogan, Mete, et al.
Published: (2025)
Efficient Large Language Model Inference with Neural Block Linearization
by: Erdogan, Mete, et al.
Published: (2025)
by: Erdogan, Mete, et al.
Published: (2025)
Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms
by: Qiao, Yiran, et al.
Published: (2026)
by: Qiao, Yiran, et al.
Published: (2026)
Reasoning-Aware Training for Time Series Forecasting
by: Ahamed, Md Atik, et al.
Published: (2026)
by: Ahamed, Md Atik, et al.
Published: (2026)
HOP to the Next Tasks and Domains for Continual Learning in NLP
by: Michieli, Umberto, et al.
Published: (2024)
by: Michieli, Umberto, et al.
Published: (2024)
From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic Reliance
by: Dreyer, Maximilian, et al.
Published: (2025)
by: Dreyer, Maximilian, et al.
Published: (2025)
MMCTOP: A Multimodal Textualization and Mixture-of-Experts Framework for Clinical Trial Outcome Prediction
by: Aparício, Carolina, et al.
Published: (2025)
by: Aparício, Carolina, et al.
Published: (2025)
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient
by: Meggendorfer, Tobias, et al.
Published: (2024)
by: Meggendorfer, Tobias, et al.
Published: (2024)
LLMs for Text-Based Exploration and Navigation Under Partial Observability
by: Sandfuchs, Stephan, et al.
Published: (2026)
by: Sandfuchs, Stephan, et al.
Published: (2026)
Physics-Inspired Interpretability Of Machine Learning Models
by: Niroomand, Maximilian P, et al.
Published: (2023)
by: Niroomand, Maximilian P, et al.
Published: (2023)
Neural Cluster First, Route Second: One-Shot Capacitated Vehicle Routing via Differentiable Optimal Transport
by: Chin, Samuel J. K., et al.
Published: (2026)
by: Chin, Samuel J. K., et al.
Published: (2026)
DDTR: Diffusion Denoising Trace Recovery
by: Matyash, Maximilian, et al.
Published: (2025)
by: Matyash, Maximilian, et al.
Published: (2025)
Target-Aligned Reinforcement Learning
by: Pleiss, Leonard S., et al.
Published: (2026)
by: Pleiss, Leonard S., et al.
Published: (2026)
Weather Prediction with Diffusion Guided by Realistic Forecast Processes
by: Hua, Zhanxiang, et al.
Published: (2024)
by: Hua, Zhanxiang, et al.
Published: (2024)
Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting
by: Holmberg, Edward, et al.
Published: (2025)
by: Holmberg, Edward, et al.
Published: (2025)
KVzap: Fast, Adaptive, and Faithful KV Cache Pruning
by: Jegou, Simon, et al.
Published: (2026)
by: Jegou, Simon, et al.
Published: (2026)
FloydNet: A Learning Paradigm for Global Relational Reasoning
by: Yu, Jingcheng, et al.
Published: (2026)
by: Yu, Jingcheng, et al.
Published: (2026)
Pairwise Difference Learning for Classification
by: Belaid, Mohamed Karim, et al.
Published: (2024)
by: Belaid, Mohamed Karim, et al.
Published: (2024)
Weighted Contrastive Learning for Anomaly-Aware Time-Series Forecasting
by: Ekstrand, Joel, et al.
Published: (2025)
by: Ekstrand, Joel, et al.
Published: (2025)
Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market
by: O'Connor, Ciaran, et al.
Published: (2025)
by: O'Connor, Ciaran, et al.
Published: (2025)
Similar Items
-
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape
by: Oldenburg, Fynn, et al.
Published: (2023) -
Cross-Platform E-Commerce Product Categorization and Recategorization: A Multimodal Hierarchical Classification Approach
by: Gross, Lotte, et al.
Published: (2025) -
Variance-Aware Prior-Based Tree Policies for Monte Carlo Tree Search
by: Weichart, Maximilian
Published: (2025) -
Representation Homogeneity and Systemic Instability in AI-Dominated Financial Markets: A Structural Approach
by: Qiu, Yimeng, et al.
Published: (2026) -
From High-Dimensional Spaces to Verifiable ODD Coverage for Safety-Critical AI-based Systems
by: Stefani, Thomas, et al.
Published: (2026)