20250306
20250320
20250325

정한교

Palantir

이경선

ResAD: A Simple Framework for Class Generalizable Anomaly Detection

이지후

TabPFN

김초은

Training Unbiased Diffusion Models from Biased Dataset

신윤섭

Deep research

정유립

Label-free CBM

20250211
20250225

이성은

Prompt Engineering

박세현

Deepseek-R1 PPT

박석훈

XBART

202502
Conformal Prediction

박석훈

Stable Conformal Prediction sets – 2022 ICML

이경선

Derandomized novelty detection with FDR control via conformal e-values – 2023 NeurIPS

박진원

Conformalized fairness via quantile regression – 2022 NeurIPS

신윤섭

Improving Expert Predictions with Conformal Prediction – ICML 2023

이지후

Improving Uncertainty Quanitifcaion of Deep Classifiers via Neighborhood Conformal Prediction – AAAI 2023

안영민

Class-conditional conformal prediction with many classes – 2023 NeurIPS

김건웅

Conformal Prediction with Large Language Models for Multi-choice Question Answering – ICML 2023 workshop

정휘창

Conformal Prediction with Missing Values – 2023 ICML

정한교

Conformal Prediciton via Regression-as-classification – 2024 ICLR

박찬무

Testing for outliers with conformal p-values – 2023 Annals

박세현

Verifiably Robust Conformal Prediction – 2024 NeurIPS

최성식

Conformal meta-learners for predictive inference of individual treatment effects. – 2024 NeurIPS

정유립

Conformal Prediction for Deep Classifier via Label Ranking – 2024 ICML

이해영

Conformal Language Modeling – 2024 ICLR

김초은

An Information Theoretic Perspective on Conformal Prediction – 2024 NeurIPS

이성은

Large language model validity via enhanced conformal prediction methods – 2024 NeurIPS

202501
Statistical learning theory

세미나 자료

Localization_Analysis.pdf

세미나 발표 영상

2024-상반기

작성자

admidea

작성일

2025-03-25

조회

20240108
2023 NeurIPS

이경선

TabMT: Generating tabular data with masked transformers

이지후

Flat Seeking Bayesian Neural Networks

김초은

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

박찬무

Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions

신윤섭

Gaussian Process Probes (GPP) for Uncertainty-Aware Probing

박유하

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition

박진원

Students Parrot Their Teachers: Membership Inference on Model Distillation

박석훈

Feature learning for interpretable , performant decisition treess

정휘창

Causal normalizing flows: from theory to practice

최성식

A Measure-Theoretic Axiomatisation of Causality

정한교

Are Emergent Abilities of Large Language Models a Mirage?

박세현

Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization

공인성

A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning

김건웅

FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-trained Models in Few-Shot Learning

20240119
Fairness

이경선

ICLR 2023 FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data

정휘창

ICML 2023 Differential Privacy has Bounded Impact on Fairness in Classification

김초은

Adapting fairness interventions to missing values

박진원

ICML 2023 Approximation Algorithms for Fair Range Clustering

20240120
MiniMax

박유하

minimax_1: Preliminaries ~ General strategy

공인성

minimax_1: Le Cam ~ Assouad

박찬무

minimax_2: Information theory ~ Fano

김건웅

minimax_2: Yang \& Barron ~ Devroye \& Lugosi

박석훈

minimax_3: Extension of Le Cam

정휘창

minimax_3: Extension of Assouad

이지후

minimax_3: Extension of Fano ~ Non finite case

최성식

minimax_4: Rate optimality ~ Examples (M-estimator)

박세현 정한교

minimax_4: Examples (Smooth density estimation) ~ Examples (Functional estimation)

이경선 김초은

minimax_4: Asymptotic efficiency ~ Asymptotic equivalence

세미나 자료

Minimax.zip

20240222
Fairness

김초은

Loss Balancing for Fair Supervised Learning (ICML 2023)

박세현

Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks (ICML 2023)

정휘창

Fair Neighbor Embedding (ICML 2023)

정한교

On the Within-Group Fairness of Screening Classifiers (ICML 2023)

박진원

Balanced Fair K-Means Clustering (IEEE 2023)

20240321
Fairness

김초은

Fairness Aware Counterfactuals for Subgroups (NeurIPS 2023)

박세현

FairFed: Enabling Group Fairness in Federated Learning (AAAI 2023)

정휘창

A Fair Generative Model Using LeCam Divergence (AAAI 2023)

이경선

Achieving Counterfactual Fairness for Anomaly Detection PAKDD 2023

이지후

Fair Representation Learning for Recommendation: A Mutual Information Perspective (AAAI 2023)

SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification (AAAI 2023)

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이전 2023

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2025021120250225

202502Conformal Prediction

202501Statistical learning theory

2024-상반기

202401082023 NeurIPS

20240119Fairness

20240120MiniMax

20240222Fairness

20240321Fairness