Co-occurring keywords · papers mentioning both
Papers
Distribution-Free Sequential Prediction with Abstentions
COLT 2026
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
ICLR 2025
Knolling Bot: Teaching Robots the Human Notion of Tidiness
NeurIPS 2025
Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts
AAAI 2025
The Complexity of Sequential Prediction in Dynamical Systems
L4DC 2025
Two-stage Risk Control with Application to Ranked Retrieval
IJCAI 2025
Visual Self-Refinement for Autoregressive Models
EMNLP 2025
Active, anytime-valid risk controlling prediction sets
NeurIPS 2024
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
ICML 2024
On the Distance from Calibration in Sequential Prediction
COLT 2024
Truthfulness of Calibration Measures
NeurIPS 2024
Adversarial Resilience in Sequential Prediction via Abstention
NeurIPS 2023
GEMS: Scene Expansion Using Generative Models of Graphs
WACV 2023
Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization
CVPR 2023
PolyFormer: Referring Image Segmentation As Sequential Polygon Generation
CVPR 2023
DIFNet: Boosting Visual Information Flow for Image Captioning
CVPR 2022
Practical Adversarial Multivalid Conformal Prediction
NeurIPS 2022
Improved Regret Bounds for Tracking Experts with Memory
NeurIPS 2021
Noether Networks: meta-learning useful conserved quantities
NeurIPS 2021
Rationales for Sequential Predictions
EMNLP 2021
Sequential Cross-Document Coreference Resolution
EMNLP 2021
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
ICML 2021
Sequential prediction under log-loss and misspecification
COLT 2021
Sequential prediction under log-loss with side information
ALT 2021
Fast Rates for Online Prediction with Abstention
COLT 2020