| 2024 | Risk-Sensitive Online Algorithms (Extended Abstract). | Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman |
| 2024 | Undetectable Watermarks for Language Models. | Miranda Christ, Sam Gunn, Or Zamir |
| 2024 | The power of an adversary in Glauber dynamics. | Byron Chin, Ankur Moitra, Elchanan Mossel, Colin Sandon |
| 2024 | On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis. | Lesi Chen, Jing Xu, Jingzhao Zhang |
| 2024 | Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract). | Siyu Chen, Heejune Sheen, Tianhao Wang, Zhuoran Yang |
| 2024 | A faster and simpler algorithm for learning shallow networks. | Sitan Chen, Shyam Narayanan |
| 2024 | Open Problem: Black-Box Reductions and Adaptive Gradient Methods for Nonconvex Optimization. | Xinyi Chen, Elad Hazan |
| 2024 | New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions. | Yuqian Cheng, Daniel M. Kane, Zhicheng Zheng |
| 2024 | Near-Optimal Learning and Planning in Separated Latent MDPs. | Fan Chen, Constantinos Daskalakis, Noah Golowich, Alexander Rakhlin |
| 2024 | Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension. | Gautam Chandrasekaran, Adam R. Klivans, Vasilis Kontonis, Raghu Meka, Konstantinos Stavropoulos |
| 2024 | Non-Clashing Teaching Maps for Balls in Graphs. | Jrmie Chalopin, Victor Chepoi, Fionn Mc Inerney, Sbastien Ratel |
| 2024 | Information-theoretic generalization bounds for learning from quantum data. | Matthias C. Caro, Tom Gur, Cambyse Rouz, Daniel Stilck Frana, Sathyawageeswar Subramanian |
| 2024 | The Price of Adaptivity in Stochastic Convex Optimization. | Yair Carmon, Oliver Hinder |
| 2024 | Open Problem: Tight Characterization of Instance-Optimal Identity Testing. | Clment L. Canonne |
| 2024 | Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression. | Rares-Darius Buhai, Jingqiu Ding, Stefan Tiegel |
| 2024 | Online Stackelberg Optimization via Nonlinear Control. | William Brown, Christos H. Papadimitriou, Tim Roughgarden |
| 2024 | Thresholds for Reconstruction of Random Hypergraphs From Graph Projections. | Guy Bresler, Chenghao Guo, Yury Polyanskiy |
| 2024 | Errors are Robustly Tamed in Cumulative Knowledge Processes. | Anna M. Brandenberger, Cassandra Marcussen, Elchanan Mossel, Madhu Sudan |
| 2024 | On the Performance of Empirical Risk Minimization with Smoothed Data. | Adam Block, Alexander Rakhlin, Abhishek Shetty |
| 2024 | Correlated Binomial Process. | Mose Blanchard, Doron Cohen, Aryeh Kontorovich |
| 2024 | Metric Clustering and MST with Strong and Weak Distance Oracles. | MohammadHossein Bateni, Prathamesh Dharangutte, Rajesh Jayaram, Chen Wang |
| 2024 | Detection of L | Kiril Bangachev, Guy Bresler |
| 2024 | The SMART approach to instance-optimal online learning. | Siddhartha Banerjee, Alankrita Bhatt, Christina Lee Yu |
| 2024 | Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? | Achraf Azize, Debabrota Basu |
| 2024 | Learning Neural Networks with Sparse Activations. | Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath, Raghu Meka |