Fred Zhang
13 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (28)
π§
Keyword Pioneer
π
Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(63)
Top co-authors
Research topics
Keywords
query complexity
(2)
language model
(2)
regret bound
(2)
robust estimation
(2)
heavy-tailed distribution
(2)
mean estimation
(2)
regret minimization
(1)
high-dimensional statistics
(1)
bipartite matching
(1)
kernel density estimation
(1)
approximation algorithm
(1)
linear regression
(1)
expert problem
(1)
event forecasting
(1)
online algorithm
(1)
machine learning
(1)
multi-armed bandit
(1)
streaming algorithm
(1)
online optimization
(1)
robust statistics
(1)
Papers
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
ICLR 2025
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
ICLR 2024
Approaching Human-Level Forecasting with Language Models
NeurIPS 2024
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
ICLR 2024
Bayesian Strategy-Proof Facility Location via Robust Estimation
AISTATS 2023
Constant Approximation for Individual Preference Stable Clustering
NeurIPS 2023
On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds
NeurIPS 2023
Robust Algorithms on Adaptive Inputs from Bounded Adversaries
ICLR 2023
Faster Fundamental Graph Algorithms via Learned Predictions
ICML 2022
Optimal Query Complexities for Dynamic Trace Estimation
NeurIPS 2022
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates
COLT 2020
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms
NeurIPS 2020
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
NeurIPS 2020