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Theory

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Papers

Scalable Certified Segmentation via Randomized Smoothing ICML 2021
Post-selection inference with HSIC-Lasso ICML 2021
An Information-Geometric Distance on the Space of Tasks ICML 2021
On the Problem of Underranking in Group-Fair Ranking ICML 2021
Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures ICML 2021
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting ICML 2021
The Heavy-Tail Phenomenon in SGD ICML 2021
Multiplicative Noise and Heavy Tails in Stochastic Optimization ICML 2021
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets ICML 2021
On the Random Conjugate Kernel and Neural Tangent Kernel ICML 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis ICML 2021
Active Learning for Distributionally Robust Level-Set Estimation ICML 2021
How to Learn when Data Reacts to Your Model: Performative Gradient Descent ICML 2021
Fairness for Image Generation with Uncertain Sensitive Attributes ICML 2021
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization ICML 2021
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs ICML 2021
Provable Lipschitz Certification for Generative Models ICML 2021
Detection of Signal in the Spiked Rectangular Models ICML 2021
A Nullspace Property for Subspace-Preserving Recovery ICML 2021
Improved Algorithms for Agnostic Pool-based Active Classification ICML 2021
Interpretable Stability Bounds for Spectral Graph Filters ICML 2021
The Lipschitz Constant of Self-Attention ICML 2021
Representational aspects of depth and conditioning in normalizing flows ICML 2021
Globally-Robust Neural Networks ICML 2021
FILTRA: Rethinking Steerable CNN by Filter Transform ICML 2021