Mathematics & Optimization

Toward Large Kernel Models ICML 2023 Toward L_∞Recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields COLT 2023 Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023 Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift NeurIPS 2023 Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games NeurIPS 2023 Towards Empirical Process Theory for Vector-Valued Functions: Metric Entropy of Smooth Function Classes ALT 2023 Towards Optimal Effective Resistance Estimation NeurIPS 2023 Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes ICML 2023 Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver ICML 2023 Towards Reliable Item Sampling for Recommendation Evaluation AAAI 2023 Towards Scalable Coverage-Based Testing of Autonomous Vehicles CoRL 2023 Towards Stable and Efficient Adversarial Training against l_1 Bounded Adversarial Attacks ICML 2023 Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models JMLR 2023 Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts ICML 2023 Trading-off price for data quality to achieve fair online allocation NeurIPS 2023 Training Deep Surrogate Models with Large Scale Online Learning ICML 2023 Training neural operators to preserve invariant measures of chaotic attractors NeurIPS 2023 Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory NeurIPS 2023 Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations AAAI 2023 Transformer-Based Learned Optimization CVPR 2023 Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization ICML 2023 Transformers Meet Directed Graphs ICML 2023 Tree-AMP: Compositional Inference with Tree Approximate Message Passing JMLR 2023 Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters NeurIPS 2023 Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs AAAI 2023