| 2026 | COLT | A Distribution Testing Approach to Clustering Distributions. | Gunjan Kumar, Yash Pote, Jonathan Scarlett |
| 2026 | COLT | Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation? | Ivan Lau, Jonathan Scarlett |
| 2025 | AISTATS | Lower Bounds for Time-Varying Kernelized Bandits. | Xu Cai, Jonathan Scarlett |
| 2025 | ALT | Quantile Multi-Armed Bandits with 1-bit Feedback. | Ivan Lau, Jonathan Scarlett |
| 2025 | ISIT | A General Framework for Clustering and Distribution Matching with Bandit Feedback. | Recep Can Yavas, Yuqi Huang, Vincent Y. F. Tan, Jonathan Scarlett |
| 2025 | ITW | Optimal Non-Adaptive Group Testing with One-Sided Error Guarantees. | Daniel McMorrow, Jonathan Scarlett |
| 2025 | SODA | Exact Thresholds for Noisy Non-Adaptive Group Testing. | Junren Chen, Jonathan Scarlett |
| 2024 | AAAI | Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization. | Xu Cai, Jonathan Scarlett |
| 2024 | AISTATS | No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints. | Arpan Losalka, Jonathan Scarlett |
| 2024 | ISIT | Exact Error Exponents for a Concatenated Coding Based Class of DNA Storage Codes. | Yan Hao Ling, Jonathan Scarlett |
| 2024 | SAGT | Complexity of Round-Robin Allocation with Potentially Noisy Queries. | Zihan Li, Pasin Manurangsi, Jonathan Scarlett, Warut Suksompong |
| 2023 | ALT | Max-Quantile Grouped Infinite-Arm Bandits. | Ivan Lau, Yan Hao Ling, Mayank Shrivastava, Jonathan Scarlett |
| 2023 | ICML | Communication-Constrained Bandits under Additive Gaussian Noise. | Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan |
| 2023 | UAI | Benefits of monotonicity in safe exploration with Gaussian processes. | Arpan Losalka, Jonathan Scarlett |
| 2022 | AAAI | Max-Min Grouped Bandits. | Zhenlin Wang, Jonathan Scarlett |
| 2022 | AISTATS | Gaussian Process Bandit Optimization with Few Batches. | Zihan Li, Jonathan Scarlett |
| 2022 | ICASSP | Data-Driven Algorithms for Gaussian Measurement Matrix Design in Compressive Sensing. | Yang Sun, Jonathan Scarlett |
| 2022 | ICLR | Generative Principal Component Analysis. | Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett |
| 2022 | ICML | Adversarial Attacks on Gaussian Process Bandits. | Eric Han, Jonathan Scarlett |
| 2022 | ICML | Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning. | Sattar Vakili, Jonathan Scarlett, Da-Shan Shiu, Alberto Bernacchia |
| 2022 | ISIT | Universal 1-Bit Compressive Sensing for Bounded Dynamic Range Signals. | Sidhant Bansal, Arnab Bhattacharyya, Anamay Chaturvedi, Jonathan Scarlett |
| 2022 | ISIT | Group Testing with Blocks of Positives. | Thach V. Bui, Yeow Meng Chee, Jonathan Scarlett, Van Khu Vu |
| 2022 | ISIT | Multi-User Random Coding Techniques for Mismatched Rate-Distortion Theory. | Millen Kanabar, Jonathan Scarlett |
| 2022 | ISIT | A Simple Coding Scheme Attaining Positive Information Velocity. | Yan Hao Ling, Jonathan Scarlett |
| 2021 | AAAI | High-Dimensional Bayesian Optimization via Tree-Structured Additive Models. | Eric Han, Ishank Arora, Jonathan Scarlett |
| 2021 | AISTATS | Stochastic Linear Bandits Robust to Adversarial Attacks. | Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett |
| 2021 | COLT | Open Problem: Tight Online Confidence Intervals for RKHS Elements. | Sattar Vakili, Jonathan Scarlett, Tara Javidi |
| 2021 | ICML | Lenient Regret and Good-Action Identification in Gaussian Process Bandits. | Xu Cai, Selwyn Gomes, Jonathan Scarlett |
| 2021 | ICML | On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization. | Xu Cai, Jonathan Scarlett |
| 2021 | ISIT | Optimal Rates of Teaching and Learning Under Binary Symmetric Noise. | Yan Hao Ling, Jonathan Scarlett |
| 2021 | ISIT | An Analysis of the DD Algorithm for Group Testing with Size-Constrained Tests. | Nelvin Tan, Jonathan Scarlett |
| 2021 | ITW | Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors. | Zhaoqiang Liu, Subhroshekhar Ghosh, Jonathan Scarlett |
| 2020 | AAAI | A MaxSAT-Based Framework for Group Testing. | Lorenzo Ciampiconi, Bishwamittra Ghosh, Jonathan Scarlett, Kuldeep S. Meel |
| 2020 | AISTATS | Corruption-Tolerant Gaussian Process Bandit Optimization. | Ilija Bogunovic, Andreas Krause, Jonathan Scarlett |
| 2020 | AISTATS | Learning Gaussian Graphical Models via Multiplicative Weights. | Anamay Chaturvedi, Jonathan Scarlett |
| 2020 | CVPR | A Characteristic Function Approach to Deep Implicit Generative Modeling. | Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh |
| 2020 | ICML | Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors. | Zhaoqiang Liu, Selwyn Gomes, Avtansh Tiwari, Jonathan Scarlett |
| 2020 | ISIT | Near-Optimal Sparse Adaptive Group Testing. | Nelvin Tan, Jonathan Scarlett |
| 2019 | ISIT | An Efficient Algorithm for Capacity-Approaching Noisy Adaptive Group Testing. | Jonathan Scarlett |
| 2019 | ISIT | Overlapping Multi-Bandit Best Arm Identification. | Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher |
| 2019 | ISIT | A Recursive Cost-Constrained Construction that Attains the Expurgated Exponent. | Anelia Somekh-Baruch, Jonathan Scarlett, Albert Guilln i Fbregas |
| 2019 | ITW | On the Information-Theoretic Limits of Noisy Sparse Phase Retrieval. | Lan V. Truong, Jonathan Scarlett |
| 2018 | AISTATS | High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. | Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher |
| 2018 | CISS | The error exponent of random gilbert-varshamov codes. | Anelia Somekh-Baruch, Jonathan Scarlett, Albert Guillen i Fabregas |
| 2018 | ICML | Tight Regret Bounds for Bayesian Optimization in One Dimension. | Jonathan Scarlett |
| 2018 | ISIT | Near-Optimal Noisy Group Testing via Separate Decoding of Items. | Jonathan Scarlett, Volkan Cevher |
| 2018 | ISIT | The Error Exponent of Generalized Random-Gilbert Varshamov Codes. | Anelia Somekh-Baruch, Jonathan Scarlett, Albert Guillen i Fabregas |
| 2017 | AISTATS | Lower Bounds on Active Learning for Graphical Model Selection. | Jonathan Scarlett, Volkan Cevher |
| 2017 | COLT | Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization. | Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher |
| 2017 | ICASSP | How little does non-exact recovery help in group testing? | Jonathan Scarlett, Volkan Cevher |
| 2017 | ICML | Robust Submodular Maximization: A Non-Uniform Partitioning Approach. | Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher |
| 2017 | ISIT | Expurgated joint source-channel coding bounds and error exponents. | Jonathan Scarlett, Alfonso Martinez, Albert Guillen i Fabregas |
| 2017 | STOC | An adaptive sublinear-time block sparse fourier transform. | Volkan Cevher, Michael Kapralov, Jonathan Scarlett, Amir Zandieh |
| 2016 | AISTATS | Time-Varying Gaussian Process Bandit Optimization. | Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher |
| 2016 | AISTATS | Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices. | Jonathan Scarlett, Volkan Cevher |
| 2016 | ISIT | Improved group testing rates with constant column weight designs. | Matthew Aldridge, Oliver Johnson, Jonathan Scarlett |
| 2016 | ISIT | Partial recovery bounds for the sparse stochastic block model. | Jonathan Scarlett, Volkan Cevher |
| 2016 | ISIT | Converse bounds for noisy group testing with arbitrary measurement matrices. | Jonathan Scarlett, Volkan Cevher |
| 2016 | ISIT | The dispersion of nearest-neighbor decoding for additive non-Gaussian channels. | Jonathan Scarlett, Vincent Y. F. Tan, Giuseppe Durisi |
| 2016 | SODA | Phase Transitions in Group Testing. | Jonathan Scarlett, Volkan Cevher |
| 2015 | AISTATS | Sparsistency of 1-Regularized M-Estimators. | Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, Volkan Cevher |
| 2015 | ICASSP | Active learning of self-concordant like multi-index functions. | Ilija Bogunovic, Volkan Cevher, Jarvis D. Haupt, Jonathan Scarlett |
| 2015 | ISIT | Limits on support recovery with probabilistic models: An information-theoretic framework. | Jonathan Scarlett, Volkan Cevher |
| 2015 | ISIT | The likelihood decoder: Error exponents and mismatch. | Jonathan Scarlett, Alfonso Martinez, Albert Guillen i Fabregas |
| 2015 | ISIT | Refinements of the third-order term in the fixed error asymptotics of constant-composition codes. | Jonathan Scarlett, Alfonso Martinez, Albert Guillen i Fabregas |
| 2015 | ISIT | Second-order asymptotics for the discrete memoryless MAC with degraded message sets. | Jonathan Scarlett, Vincent Y. F. Tan |
| 2014 | ISIT | On the dispersion of dirty paper coding. | Jonathan Scarlett |
| 2014 | ISIT | The saddlepoint approximation: Unified random coding asymptotics for fixed and varying rates. | Jonathan Scarlett, Alfonso Martinez, Albert Guillen i Fabregas |
| 2014 | ISIT | Mismatched multi-letter successive decoding for the multiple-access channel. | Jonathan Scarlett, Alfonso Martinez, Albert Guillen i Fabregas |
| 2014 | ISIT | Second-order asymptotics for the gaussian MAC with degraded message sets. | Jonathan Scarlett, Vincent Y. F. Tan |
| 2013 | ISIT | Superposition codes for mismatched decoding. | Jonathan Scarlett, Alfonso Martinez, Albert Guillen i Fabregas |
| 2013 | ISIT | The mismatched multiple-access channel: General alphabets. | Jonathan Scarlett, Alfonso Martinez, Albert Guillen i Fabregas |
| 2013 | ITA | Cost-constrained random coding and applications. | Jonathan Scarlett, Alfonso Martinez, Albert Guillen i Fabregas |