Fred Zhang
13 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (5)
π
Cross-Pollinator
(8)
πΊοΈ
Taxonomy Completionist
(25)
π
Century Club
(13)
Conferences
NIPS (6)
ICLR (4)
AISTATS (1)
COLT (1)
ICML (1)
Top co-authors
Keywords
heavy-tailed distribution
(2)
robust statistics
(1)
approximation algorithm
(1)
high-dimensional statistics
(1)
regret minimization
(1)
semi-definite programming
(1)
machine learning
(1)
robust estimation
(1)
query complexity
(1)
expert problem
(1)
event forecasting
(1)
regret bound
(1)
online algorithm
(1)
streaming algorithm
(1)
mean estimation
(1)
spectral algorithm
(1)
adversarial corruption
(1)
learning-augmented algorithm
(1)
bipartite matching
(1)
online learning
(1)
Papers
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
ICLR 2025
Approaching Human-Level Forecasting with Language Models
NIPS 2024
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
ICLR 2024
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
ICLR 2024
On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds
NIPS 2023
Constant Approximation for Individual Preference Stable Clustering
NIPS 2023
Robust Algorithms on Adaptive Inputs from Bounded Adversaries
ICLR 2023
Bayesian Strategy-Proof Facility Location via Robust Estimation
AISTATS 2023
Faster Fundamental Graph Algorithms via Learned Predictions
ICML 2022
Optimal Query Complexities for Dynamic Trace Estimation
NIPS 2022
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates
COLT 2020
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
NIPS 2020
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms
NIPS 2020