Surbhi Goel

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2017–2026

Best venue rank

Where they publish

Papers

27 indexed papers, newest first.

Year	Venue	Title	Authors
2026	COLT	Model Agreement via Anchoring.	Eric Eaton, Surbhi Goel, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell
2026	COLT	Testing Noise Assumptions of Learning Algorithms.	Surbhi Goel, Adam R. Klivans, Konstantinos Stavropoulos, Arsen Vasilyan
2026	SODA	Collaborative Prediction: Tractable Information Aggregation via Agreement.	Natalie Collina, Ira Globus-Harris, Surbhi Goel, Varun Gupta, Aaron Roth, Mirah Shi
2025	COLT	A Theory of Learning with Autoregressive Chain of Thought.	Nirmit Joshi, Gal Vardi, Adam Block, Surbhi Goel, Zhiyuan Li, Theodor Misiakiewicz, Nathan Srebro
2025	ICLR	Progressive distillation induces an implicit curriculum.	Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Andrej Risteski, Surbhi Goel
2025	ICLR	Conformal Language Model Reasoning with Coherent Factuality.	Maxon Rubin-Toles, Maya Gambhir, Keshav Ramji, Aaron Roth, Surbhi Goel
2025	ICLR	Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference.	Anton Xue, Avishree Khare, Rajeev Alur, Surbhi Goel, Eric Wong
2025	STOC	Tractable Agreement Protocols.	Natalie Collina, Surbhi Goel, Varun Gupta, Aaron Roth
2024	ICML	Complexity Matters: Feature Learning in the Presence of Spurious Correlations.	Guanwen Qiu, Da Kuang, Surbhi Goel
2024	ICML	Stochastic Bandits with ReLU Neural Networks.	Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani
2023	COLT	Learning Narrow One-Hidden-Layer ReLU Networks.	Sitan Chen, Zehao Dou, Surbhi Goel, Adam R. Klivans, Raghu Meka
2023	ICLR	Transformers Learn Shortcuts to Automata.	Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
2022	AISTATS	Investigating the Role of Negatives in Contrastive Representation Learning.	Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Dipendra Misra
2022	ICLR	Anti-Concentrated Confidence Bonuses For Scalable Exploration.	Jordan T. Ash, Cyril Zhang, Surbhi Goel, Akshay Krishnamurthy, Sham M. Kakade
2022	ICML	Inductive Biases and Variable Creation in Self-Attention Mechanisms.	Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Cyril Zhang
2022	ICML	Understanding Contrastive Learning Requires Incorporating Inductive Biases.	Nikunj Saunshi, Jordan T. Ash, Surbhi Goel, Dipendra Misra, Cyril Zhang, Sanjeev Arora, Sham M. Kakade, Akshay Krishnamurthy
2021	ICML	Acceleration via Fractal Learning Rate Schedules.	Naman Agarwal, Surbhi Goel, Cyril Zhang
2021	ICML	Statistical Estimation from Dependent Data.	Anthimos Vardis Kandiros, Yuval Dagan, Nishanth Dikkala, Surbhi Goel, Constantinos Daskalakis
2020	AISTATS	Learning Ising and Potts Models with Latent Variables.	Surbhi Goel
2020	COLT	Approximation Schemes for ReLU Regression.	Ilias Diakonikolas, Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans, Mahdi Soltanolkotabi
2020	ICML	Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent.	Surbhi Goel, Aravind Gollakota, Zhihan Jin, Sushrut Karmalkar, Adam R. Klivans
2020	ICML	Learning Mixtures of Graphs from Epidemic Cascades.	Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis
2020	ICML	Efficiently Learning Adversarially Robust Halfspaces with Noise.	Omar Montasser, Surbhi Goel, Ilias Diakonikolas, Nathan Srebro
2019	COLT	Learning Neural Networks with Two Nonlinear Layers in Polynomial Time.	Surbhi Goel, Adam R. Klivans
2019	COLT	Learning Ising Models with Independent Failures.	Surbhi Goel, Daniel M. Kane, Adam R. Klivans
2018	ICML	Learning One Convolutional Layer with Overlapping Patches.	Surbhi Goel, Adam R. Klivans, Raghu Meka
2017	COLT	Reliably Learning the ReLU in Polynomial Time.	Surbhi Goel, Varun Kanade, Adam R. Klivans, Justin Thaler