Mathematics & Optimization

Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent (Extended Abstract) IJCAI 2022 How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents NeurIPS 2022 How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues AAAI 2022 How Powerful are Spectral Graph Neural Networks ICML 2022 How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity ICML 2022 How to Learn when Data Gradually Reacts to Your Model AISTATS 2022 Human-AI Collaborative Bayesian Optimisation NeurIPS 2022 Hyperbolic Relevance Matching for Neural Keyphrase Extraction NAACL 2022 Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel AAAI 2022 Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems AAAI 2022 Hypothesis Testing for Differentially Private Linear Regression NeurIPS 2022 I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning AAAI 2022 Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy NeurIPS 2022 Identifying near-optimal decisions in linear-in-parameter bandit models with continuous decision sets UAI 2022 Identity Testing of Reversible Markov Chains AISTATS 2022 Image Based Reconstruction of Liquids From 2D Surface Detections CVPR 2022 Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent NeurIPS 2022 Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension ICLR 2022 Implicit Regularization with Polynomial Growth in Deep Tensor Factorization ICML 2022 Improved analysis for a proximal algorithm for sampling COLT 2022 Improved analysis of randomized SVD for top-eigenvector approximation AISTATS 2022 Improved Approximation Algorithms for Individually Fair Clustering AISTATS 2022 Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning ICML 2022 Improved Coresets for Euclidean k-Means NeurIPS 2022 Improved Imaging by Invex Regularizers with Global Optima Guarantees NeurIPS 2022