Surbhi Goel
37 papers · 2017–2026 · 5 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Surbhi Goel?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Cyril Zhang, Akshay Krishnamurthy, Sham Kakade
13 papers
· 2021–2025
· NeurIPS, ICLR, ICML
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Progressive distillation induces an implicit curriculum
ICLR 2025
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
NeurIPS 2024
Exposing Attention Glitches with Flip-Flop Language Modeling
NeurIPS 2023
Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck
NeurIPS 2023
Transformers Learn Shortcuts to Automata
ICLR 2023
Anti-Concentrated Confidence Bonuses For Scalable Exploration
ICLR 2022
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
NeurIPS 2022
Inductive Biases and Variable Creation in Self-Attention Mechanisms
ICML 2022
Investigating the Role of Negatives in Contrastive Representation Learning
AISTATS 2022
Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms
NeurIPS 2022
Understanding Contrastive Learning Requires Incorporating Inductive Biases
ICML 2022
Acceleration via Fractal Learning Rate Schedules
ICML 2021
Gone Fishing: Neural Active Learning with Fisher Embeddings
NeurIPS 2021
6 papers whose co-authors appear nowhere else under this name
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
ICLR 2025
Complexity Matters: Feature Learning in the Presence of Spurious Correlations
ICML 2024
Stochastic Bandits with ReLU Neural Networks
ICML 2024
Statistical Estimation from Dependent Data
ICML 2021
Learning Ising and Potts Models with Latent Variables
AISTATS 2020
Learning Mixtures of Graphs from Epidemic Cascades
ICML 2020