Skip to content
conftrace_

Fanny Yang

31 papers · 2017–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
+12 more ↓ πŸ—ΊοΈ Taxonomy Completionist (52) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (12) πŸ‘₯ Mega-Team Β· Squad πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) 🧭 Keyword Pioneer 🀝 Dynamic Duo (11) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (3) πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (7) πŸ—ƒοΈ Keyword Collector (162)

Venues

NeurIPS (8) ICML (6) ICLR (5) AISTATS (4) UAI (3) CVPR (2) ALT (1) CoRL (1) JMLR (1)

Top co-authors

Konstantin Donhauser (11) Alexandru Tifrea (5) Martin J. Wainwright (4) Javier Abad (4) Amartya Sanyal (4) Piersilvio De Bartolomeis (3) Aaditya Ramdas (2) Sen He (2) Stefan Stojanovic (2) Weiming Ren (2)

Research topics

Machine Learning (28) Optimization & Theory (22) Learning Types Β· Machine Learning (14) Artificial Intelligence (8) Mathematics & Optimization (7) Core AI (7) Core Methods (7) Deep Learning (5) Application Areas (4) Learning Types Β· Deep Learning (4) Mathematics (4) Optimization (4) Healthcare & Medicine (2) Clinical (2) Computer Vision (1)

Keywords

adversarial training (3) causal inference (3) kernel methods (2) lower bound (2) treatment effect (2) statistical test (2) gaussian complexity (2) differential privacy (2) generalization bound (2) inductive bia (2) hypothesis testing (2) randomized trial (2) semi-supervised learning (2) robust generalization (2) early stopping (2) benign overfitting (2) false discovery rate (2) high-dimensional analysis (2) sample complexity (2) logistic regression (1)

Papers

OneStory: Coherent Multi-Shot Video Generation with Adaptive Memory CVPR 2026 TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models CVPR 2026 Copyright-Protected Language Generation via Adaptive Model Fusion ICLR 2025 Doubly robust identification of treatment effects from multiple environments ICLR 2025 Learning Pareto manifolds in high dimensions: How can regularization help? AISTATS 2025 Achievable distributional robustness when the robust risk is only partially identified NeurIPS 2024 Certified private data release for sparse Lipschitz functions AISTATS 2024 Detecting critical treatment effect bias in small subgroups UAI 2024 Hidden yet quantifiable: A lower bound for confounding strength using randomized trials AISTATS 2024 Minimum Norm Interpolation Meets The Local Theory of Banach Spaces ICML 2024 Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent ICML 2024 Robust Mixture Learning when Outliers Overwhelm Small Groups NeurIPS 2024 Tight bounds for maximum β„“_1-margin classifiers ALT 2024 Can semi-supervised learning use all the data effectively? A lower bound perspective NeurIPS 2023 Margin-based sampling in high dimensions: When being active is less efficient than staying passive ICML 2023 Strong inductive biases provably prevent harmless interpolation ICLR 2023 Why adversarial training can hurt robust accuracy ICLR 2023 Fast rates for noisy interpolation require rethinking the effect of inductive bias ICML 2022 How unfair is private learning? UAI 2022 Semi-supervised novelty detection using ensembles with regularized disagreement UAI 2022 Tight bounds for minimum β„“_1-norm interpolation of noisy data AISTATS 2022 How rotational invariance of common kernels prevents generalization in high dimensions ICML 2021 Interpolation can hurt robust generalization even when there is no noise NeurIPS 2021 Self-supervised Reinforcement Learning with Independently Controllable Subgoals CoRL 2021 Understanding and Mitigating the Tradeoff between Robustness and Accuracy ICML 2020 Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness NeurIPS 2019 Regularized Learning for Domain Adaptation under Label Shifts ICLR 2019 A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control NeurIPS 2017 Early stopping for kernel boosting algorithms: A general analysis with localized complexities NeurIPS 2017 Online control of the false discovery rate with decaying memory NeurIPS 2017 Statistical and Computational Guarantees for the Baum-Welch Algorithm JMLR 2017