conftrace_

cumulative distribution function

20 papers

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Also known as

CDF

Co-occurring keywords

neural network (6616) density estimation (398) conditional value at risk (50) doubly robust estimator (37) risk assessment (78) heavy-tailed distribution (98) graphical model (864) message passing (579) domain adaptation (4595) off-policy evaluation (144)

Papers

Multi-Horizon Time Series Forecasting of Non-Parametric CDFs with Deep Lattice Networks AAAI 2026
Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs EMNLP 2025
pEBR: A Probabilistic Approach to Embedding Based Retrieval EMNLP 2025
Private Statistical Estimation of Many Quantiles ICML 2023
Time-uniform confidence bands for the CDF under nonstationarity NIPS 2023
A Risk-Sensitive Approach to Policy Optimization AAAI 2023
Binary independent component analysis: a non-stationarity-based approach UAI 2022
Neural Inverse Transform Sampler ICML 2022
Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis AISTATS 2022
Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization CVPR 2022
Off-Policy Risk Assessment in Contextual Bandits NIPS 2021
Robust Correction of Sampling Bias using Cumulative Distribution Functions NIPS 2020
Neural Likelihoods via Cumulative Distribution Functions UAI 2020
Learning Local Descriptors With a CDF-Based Dynamic Soft Margin ICCV 2019
Meritocratic Fairness for Cross-Population Selection ICML 2017
Learning Populations of Parameters NIPS 2017
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs JMLR 2011
Maximum-likelihood learning of cumulative distribution functions on graphs AISTATS 2010
Exact inference and learning for cumulative distribution functions on loopy graphs NIPS 2010