Mathematics & Optimization

Quantifying Human Priors over Social and Navigation Networks ICML 2023 Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework NeurIPS 2023 Quantifying Network Similarity using Graph Cumulants JMLR 2023 Quantitative Reasoning and Structural Complexity for Claim-Centric Argumentation IJCAI 2023 Quantum Bayesian Optimization NeurIPS 2023 Quantum Channel Certification with Incoherent Measurements COLT 2023 Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation AAAI 2023 Quantum Multi-Model Fitting CVPR 2023 Quantum speedups for stochastic optimization NeurIPS 2023 Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling ICML 2023 Quasi-Monte Carlo Graph Random Features NeurIPS 2023 Quasi-Newton Steps for Efficient Online Exp-Concave Optimization COLT 2023 Query-Aware Quantization for Maximum Inner Product Search AAAI 2023 Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning JMLR 2023 RADIUS: Risk-Aware, Real-Time, Reachability-Based Motion Planning RSS 2023 Random Assignment of Indivisible Goods under Constraints IJCAI 2023 Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds ICML 2023 Randomized geometric tools for anomaly detection in stock markets AISTATS 2023 Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback AISTATS 2023 Randomized Primal-Dual Methods with Adaptive Step Sizes AISTATS 2023 RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates ICLR 2023 Range-Based Equal Error Rate for Spoof Localization Interspeech 2023 Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization NeurIPS 2023 Rank Aggregation Using Scoring Rules AAAI 2023 Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path ALT 2023