← Authors

Navin Goyal

23 papers · 2012–2025 · 11 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (13) πŸ—ΊοΈ Taxonomy Completionist (12) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ƒοΈ Keyword Collector (104) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (7) ❓ The Questioner

Conferences

COLT (4) EMNLP (4) NIPS (3) AISTATS (2) ICLR (2) ICML (2) UAI (2) ACL (1) COLING (1) CONLL (1) NAACL (1)

Top co-authors

Satwik Bhattamishra (6) Arkil Patel (5) Shipra Agrawal (3) Kabir Ahuja (3) Abhishek Shetty (2) Joseph Anderson (2) Madhur Panwar (2) Luis Rademacher (2) Anand Louis (2) Abhishek Panigrahi (2)

Research topics

Probability (1)

Keywords

transformer model (3) thompson sampling (3) bayesian inference (3) positional encoding (3) sequence modeling (3) regret bound (3) independent component analysis (2) causal inference (2) turing completeness (2) language model (2) attention mechanism (2) recurrent neural network (2) multi-armed bandit (2) tensor decomposition (2) neural network optimization (2) compositional generalization (2) parameter estimation (2) linear structural equation model (2) convex optimization (1) online learning (1)

Papers

CurLL: A Developmental Framework to Evaluate Continual Learning in Language Models EMNLP 2025
InversionView: A General-Purpose Method for Reading Information from Neural Activations NIPS 2024
In-Context Learning through the Bayesian Prism ICLR 2024
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context NIPS 2023
Robust identifiability in linear structural equation models of causal inference UAI 2022
Revisiting the Compositional Generalization Abilities of Neural Sequence Models ACL 2022
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks EMNLP 2022
Learning and Generalization in Overparameterized Normalizing Flows AISTATS 2022
Learning and Generalization in RNNs NIPS 2021
Are NLP Models really able to Solve Simple Math Word Problems? NAACL 2021
Effect of Activation Functions on the Training of Overparametrized Neural Nets ICLR 2020
On the Computational Power of Transformers and Its Implications in Sequence Modeling CONLL 2020
On the Ability and Limitations of Transformers to Recognize Formal Languages EMNLP 2020
On the Computational Power of Transformers and Its Implications in Sequence Modeling EMNLP 2020
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages COLING 2020
Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature COLT 2019
Stability of Linear Structural Equation Models of Causal Inference UAI 2019
Non-negative Matrix Factorization under Heavy Noise ICML 2016
The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures COLT 2014
Efficient Learning of Simplices COLT 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs ICML 2013
Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013
Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012