Papers
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training
Tom Sander, Maxime Sylvestre, Alain Durmus
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity
Kais Hariz, Hachem Kadri, Stéphane Ayache et al.
Importance Matching Lemma for Lossy Compression with Side Information
Buu Phan, Ashish Khisti, Christos Louizos
Imposing Fairness Constraints in Synthetic Data Generation
Mahed Abroshan, Andrew Elliott, Mohammad Mahdi Khalili
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
Junghyun Lee, Se-Young Yun, Kwang-Sung Jun
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
Bhagyashree Puranik, Ahmad Beirami, Yao Qin et al.
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models
Zhao Lyu, Wai Ming Tai, Mladen Kolar et al.
Independent Learning in Constrained Markov Potential Games
Philip Jordan, Anas Barakat, Niao He
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs
Mishfad Shaikh Veedu, Deepjyoti Deka, Murti Salapaka
Information-theoretic Analysis of Bayesian Test Data Sensitivity
Futoshi Futami, Tomoharu Iwata
Informative Path Planning with Limited Adaptivity
Rayen Tan, Rohan Ghuge, Viswanath Nagarajan
Integrating Uncertainty Awareness into Conformalized Quantile Regression
Raphael Rossellini, Rina Foygel Barber, Rebecca Willett
Interpretability Guarantees with Merlin-Arthur Classifiers
Stephan Wäldchen, Kartikey Sharma, Berkant Turan et al.
Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
Srikar Katta, Harsh Parikh, Cynthia Rudin et al.
Intrinsic Gaussian Vector Fields on Manifolds
Daniel Robert-Nicoud, Andreas Krause, Viacheslav Borovitskiy
Invariant Aggregator for Defending against Federated Backdoor Attacks
Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo et al.
Is this model reliable for everyone? Testing for strong calibration
Jean Feng, Alexej Gossmann, Romain Pirracchio et al.
Joint control variate for faster black-box variational inference
Xi Wang, Tomas Geffner, Justin Domke
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data
Miguel Fuentes, Brett C. Mullins, Ryan McKenna et al.
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate
Ruichen Jiang, Parameswaran Raman, Shoham Sabach et al.
Large-Scale Gaussian Processes via Alternating Projection
Kaiwen Wu, Jonathan Wenger, Haydn T Jones et al.
Learning Adaptive Kernels for Statistical Independence Tests
Yixin Ren, Yewei Xia, Hao Zhang et al.
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov et al.