Probability

Deep Learning for Computing Convergence Rates of Markov Chains NeurIPS 2024 Dense Associative Memory Through the Lens of Random Features NeurIPS 2024 Detection of $L_∞$ Geometry in Random Geometric Graphs: Suboptimality of Triangles and Cluster Expansion COLT 2024 Differentially private exact recovery for stochastic block models ICML 2024 Differentially Private Set Representations NeurIPS 2024 Differentially Private Worst-group Risk Minimization ICML 2024 Dimension-free Structured Covariance Estimation COLT 2024 Distances for Markov Chains, and Their Differentiation ALT 2024 DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems ICML 2024 Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing ICML 2024 Eluder-based Regret for Stochastic Contextual MDPs ICML 2024 Entropy Coding of Unordered Data Structures ICLR 2024 Estimation of the Order of Non-Parametric Hidden Markov Models using the Singular Values of an Integral Operator JMLR 2024 Experimental evaluation of MOS, AB and BWS listening test designs Interspeech 2024 Fast 1-Wasserstein distance approximations using greedy strategies AISTATS 2024 Fast Co-Training under Weak Dependence via Stream-Based Active Learning ICML 2024 Faster Sampling via Stochastic Gradient Proximal Sampler ICML 2024 Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging AISTATS 2024 Fast parallel sampling under isoperimetry COLT 2024 Fat-Shattering Dimension of k-fold Aggregations JMLR 2024 First Passage Percolation with Queried Hints AISTATS 2024 Fisher information dissipation for time-inhomogeneous stochastic differential equations JMLR 2024 Fundamental Limits of Distributed Covariance Matrix Estimation Under Communication Constraints ICML 2024 Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps JMLR 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024